WO2016083687A1 - Diagnostics device for a motor vehicle - Google Patents

Diagnostics device for a motor vehicle Download PDF

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Publication number
WO2016083687A1
WO2016083687A1 PCT/FR2015/052811 FR2015052811W WO2016083687A1 WO 2016083687 A1 WO2016083687 A1 WO 2016083687A1 FR 2015052811 W FR2015052811 W FR 2015052811W WO 2016083687 A1 WO2016083687 A1 WO 2016083687A1
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WO
WIPO (PCT)
Prior art keywords
sound
vibration
noise
characteristic
extract
Prior art date
Application number
PCT/FR2015/052811
Other languages
French (fr)
Inventor
Guillaume CATUSSEAU
Morgane DANIEL
Original Assignee
Peugeot Citroen Automobiles Sa
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Filing date
Publication date
Application filed by Peugeot Citroen Automobiles Sa filed Critical Peugeot Citroen Automobiles Sa
Publication of WO2016083687A1 publication Critical patent/WO2016083687A1/en

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
    • B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
    • B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
    • B60R16/0234—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions related to maintenance or repairing of vehicles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00—Testing of engines
    • G01M15/04—Testing internal-combustion engines
    • G01M15/12—Testing internal-combustion engines by monitoring vibrations
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data

Definitions

  • the invention relates to malfunction diagnostics of motor vehicles, including the use of noises and vibrations, normal or abnormal, emitted by the vehicle.
  • car manufacturers deploy in their after-sales centers essentially technical documentation such as diagrams, ranges, operating descriptions, vocabulary or glossary on the nature of noise. They also deploy tools for measuring vehicle operating parameters and diagnostic tools connected to the diagnostic socket.
  • Diagnosis by the human ear or diagnosis by the diagnosis is effective locally, for a garage, a study office, but do not benefit from the experience of a manufacturer to the scale of an entire group, including design offices, manufacturing, quality services, and after-sales services.
  • Capitalization and experience in the acoustic field are tedious on a human scale, for a garage technician and complicated to implement at the scale of a manufacturer.
  • the object of the invention is to provide a means of implementing an acoustic expertise at the scale of an entire network such as that of a car manufacturer.
  • a motor vehicle malfunction identification device characterized in that it comprises a sound and / or vibration sensor, an apparatus for recording a sound and / or vibratory extract. emitted by the vehicle, which sound and / or vibratory sound comprises noise and / or vibration emitted by the vehicle, which noise and / or vibration has at least one characteristic, the device further comprising a feature library sound and / or vibration signals and a search engine able to compare, from the recorded sound and / or vibratory extract, at least one characteristic of the noise and / or vibration included in the sound extract and / or vibratory recorded with characteristics of the library.
  • the device is configured to isolate a selection comprising all or part of the recorded sound and / or vibration extract, which selection is performed by a user.
  • the device is configured to isolate a selection in which the malfunction appears and another selection in which the malfunction does not appear.
  • the search engine is configured to identify at least one characteristic of the library that is similar to said noise and / or vibration characteristic included in the selection of the sound and / or vibration extract. checked in.
  • the device comprises a module for separating sound sources and / or vibratory superimposed in the selection of the recorded sound and / or vibration extract, which is configured to process this selection so as to isolate said noise or vibration included in the sound and / or vibration extract issued by the vehicle, prior to the identification of at least one characteristic of the library which is similar to that characteristic of the noise and / or vibration included in the sound and / or vibratory sound recorded.
  • the source separation module is configured to extract from the selection of the sound extract and / or vibratory recorded different noises and / or different vibrations each corresponding (e) noise and / or vibrations emitted ( es) by different bodies of the vehicle.
  • the library comprises at least one characteristic of a sound signal and / or vibratory emitted by a faulty vehicle body and the search engine is configured to compare at least one characteristic of the noise and / or of the vibration included in the selection of the sound and / or vibratory sound extract recorded with the sound and / or vibration signal characteristic emitted by the vehicle failure member.
  • the library comprises at least one characteristic of a sound signal and / or vibratory emitted by a healthy body of the vehicle and the search engine is configured to compare at least one characteristic noise and / or vibration included (e) in the selection of the sound and / or vibration extract recorded with said at least one sound and / or vibration signal characteristic emitted by the sound vehicle organ.
  • the device is configured to establish that said at least one sound and / or vibration characteristic of the noise and / or vibration included in the selection of the recorded sound and / or vibration extract is not similar. no sound and / or vibration signal characteristics of the library, for recording in the library said at least one characteristic of the noise and / or vibration included in the selection of the sound and / or vibration extract in a such a situation, and for comparing a characteristic of a noise and / or vibration included in a sound and / or vibratory sound extract subsequently recorded to this newly recorded noise and / or vibration characteristic in the library.
  • the device is configured to acquire at least one parameter indicative of a context of use of the vehicle and the search engine is configured to take account of said at least one parameter indicative of the context of use of the vehicle to identify a sound and / or vibratory signal characteristic of the library which is similar to the noise and / or vibration characteristic included in the selection (A) of the recorded sound and / or vibration extract.
  • the device is configured to take into account at least one rating of the noise and / or vibration included (e) in the selection of the recorded sound and / or vibratory sound which classification is performed by a user among a series of noise and / or vibration sensing categories and the search engine is configured to account for this rating to identify a sound and / or vibration signal characteristic of the library that is similar to the noise characteristic and / or or the vibration included in the selection of the recorded sound and / or vibration extract.
  • the library of characteristics of sound and / or vibration signals is connected to the recording apparatus via the Internet network.
  • the characteristics of sound and / or vibration signals of the library are each associated with the noise and / or vibration of a vehicle member and the device is configured to identify a vehicle member associated with said at least one a sound and / or vibration characteristic of the noise and / or vibration included in the selection of the recorded sound and / or vibration extract.
  • the device comprises listening means of the recorded sound and / or vibration extract.
  • a first step consists in making a recording of a sound extract as emitted by the vehicle, using a sensor and a recording apparatus, such a sensor is for example a microphone or an accelerometer connected to an application hosted by the recording apparatus, the application producing sound files or digitized vibratory devices such as .wav files, the sound or vibration extract in a digitized file is stored in a memory of the recording device. than a .wav.
  • This step of recovering a sound and / or vibratory extract in a digital format has the reference 1 in the figure.
  • a step 2 here consists of a human intervention to select a time passage where the noise problem appears, for example between instants t1 and t2 in seconds.
  • the user can, through appropriate listening means included in the device, listen to the sound sample and its selection as many times as desired.
  • the selected signal portion therefore contains the sound event to be identified, but also all other simultaneous noise sources superimposed in the same instant.
  • the user selects one of several instances, not necessarily the first one. In the case of stationary noise, the user may be required to select the complete sound extract.
  • step 3 the user isolates the two pieces of signal, namely the time passage where the noise problem, in other words the malfunction appears - portion of signal named A -, and the rest of the extract sound - portion of signal named B- in which the malfunction does not appear.
  • the separation module in step 4, separates the sources that are superimposed in the audio signal portion, that is to say in the selection of the recorded sound and / or vibration extract, in particular the components of the sound extract which can correspond to different organs of the vehicle.
  • the source separation module works from the selection of the sound or vibratory extract initially recorded and operates by filtering to isolate the sources. It differs from the feature extraction module in that it works from sources isolated by the extraction module to release physical quantities characterizing these isolated sources.
  • Step 5 is for the user to respond to a context questionnaire.
  • a context questionnaire is ideally displayed on the screen of the diagnostic equipment used in the garage.
  • the user indicates one or more parameters indicative of the context of use of the vehicle at the moment when the noise appears.
  • parameters can be for example the engine speed in revolutions per minute, the temperature of the engine, the fact that the blower of the air conditioning is active, etc.
  • such parameters can be taken directly from the on-board computer of the vehicle, in particular via the diagnostic connector of the vehicle.
  • the sound sources, or noisy automobile components, contained in the extract are sorted according to the context described by the customer incident.
  • context we mean the life situations of the vehicle, the conditions of appearance of noise.
  • the context can be provided in writing as with an incident sheet, or by in-situ measurement by reading the vehicle parameters such as speed, speed, gear engaged.
  • the user enters here, according to his feelings, a description of the type of noise or vibration among a series of categories, according to a pre-established map.
  • the user classifies noise or vibration among six categories.
  • the first category consists of a vibration
  • the second category consists of a grunt-hum-buzz
  • the third category consists of a snap-cracking
  • the fourth category consists of a crackle-crackle-click
  • the fifth category consists of a squeak-squeak-squeak
  • the sixth category consists of a whistling-mermaid-hissing-air-sound.
  • the categories reveal, on the one hand, a temporal character of the noise, for example a period of repetition of a sound pattern and, on the other hand, a tonal character of the noise, for example the frequency characteristic conditioning the feeling in acute or serious.
  • step 6 a series of basic rules is applied to filter the sources responsible for the noise incident in the context thus identified of the noise map.
  • the classification of the types of noise according to the categories described above is carried out because these categories reflect a proven phenomenology of automobile noise and thus promote diagnosis.
  • a sound extract it is identified whether the sounds that are present are mainly in a given category among the six categories listed.
  • Each type of noise therefore constitutes a matrix in the library of characteristics of sound or vibration signals.
  • step 7 the remainder of the non-useful audio signal is separated.
  • step 8 the characteristics of the signal and their statistical probabilities are extracted to classify each source contained in the selection of the extract.
  • the parameters known as Anglo-Saxon Energy Entropy Standard deviation (std) - standard deviation of energy entropy in French-, Signal Energy Std by mean (average) Ratio - ratio of standard of signal energy to mean -, Zero Crossing Rate Std - standard zero crossover rate -, Spectral Rolloff Std - standard spectral attenuation -, Spectral Centroid Std - standard spectral centroid -, Spectral Flux Std Mean Ratio - ratio of the average spectral flux standard.
  • each source can be placed in a description frame.
  • said library of characteristics of sound or vibration signals is used.
  • This is for example a database established at the scale of a car manufacturer.
  • Such a library is advantageously connected to the recording apparatus via the internet network.
  • Such a library is a knowledge base of the automaker's automobile noises. It contains the audio data for example * .wav files, as well as the contextual information of each recording, for example the definition of the automobile product, the conditions of appearances, the natures of noises, the conditions of acoustic measurement.
  • the sound files can come from the registration of a sound vehicle, that is to say of the noises emitted by the organs of the vehicle when they operate normally.
  • the sound files can also come from the registration of a faulty vehicle, as is the case for a noise produced by a bad assembly, a non-conformity, a piece wear, or a broken or faulty organ, etc.
  • This library preferably contains all the useful characteristics of each source or vehicle member historically known by the manufacturer, and therefore already calculated and encoded in the database following the method which will be described later. These characteristics are hierarchical according to the storage structure of the database, or are used to build and optimize a parametric model according to the classification method chosen, especially for the case of using a HMM - Hidden Markov Model in English, Hidden Markov Model in French - in the case of a GMM - Gaussian Mixture Model in English, in the case of an SVM - Support Vector Machine in English, Support Vector Machine in French - or in the case of a NN - Neural Network in English, neural network in French -.
  • a search engine confronts newly extracted features of an audio or vibratory record with the signal feature library.
  • the principle here is to place the characteristics of an extracted source in the same description space as the library. We obtain a collection of distances between the extracted characteristics and the known characteristics named here D ix .
  • the distances make it possible to recognize sources similar to the known cases of the library.
  • the smaller distances express a good level of sound recognition and the larger ones a lower reliability in recognition.
  • step 12 if all the characteristics of a source extracted do not allow to recognize it, namely if the sum of the distances D ix is greater than L ix where L ix is a limit set by experience and validation, so they constitute a new case for the manufacturer database.
  • the characteristics of the database are thus completed and re-prioritized to learn the new case.
  • This provides an update of the signal characteristic library. The addition is advantageously conditioned by the will of the manufacturer, according to the analysis of the technical relevance of the new case for the base and for the methods internal to the company.
  • step 14 according to the list of sound sources "without defect” deduced from step 13, we must go back to the healthy auto parts related to these noises.
  • the builder's sound or vibration library makes it possible to establish these links to the compliant sounds of a healthy vehicle.
  • step 15 according to the list of sound sources "with default” of step 13, it is necessary to go back to the faulty automobile parts related to these noises.
  • the builder's sound or vibration library makes it possible to establish these links to the sounds of failures.
  • the choice of the method (s) used (s) to classify the characteristics can be done among the methods SVM - Support Vector Machine or vector support machine - kNN - k-Nearest Neighbors in English or neighbors k -Nearest in French, HMM - Hidden Markov Model or Hidden Markov Model in French -, GMM - Gaussian Mixture Model or Gaussian Mixture Model -, NN -Neural Network or Neural Network -, DTW - Dynamic Time Warping in English or Alert dynamic time in French, as well as their variants and combinations of several models (hybrid models).
  • We can do or not learn from new features. Different ways of calculating the boundary between known and unknown sources can be adopted. We can limit our to displaying recognized sources or organs without establishing whether they are healthy or failing.
  • the present embodiment saves time, including faster repair after-sales. It allows a gain in terms of quality of repair and customer satisfaction because the repair is more targeted, and there are fewer diagnostic errors and fewer returns to the workshop for work poorly done.
  • the present embodiment further provides a gain in terms of cost. It allows a reduction of warranty costs, avoiding diagnostic errors, non-reproduced defects, and documents filed wrongly or without an identified cause. The present embodiment thus makes it possible to maintain the after-sales customer base in the manufacturer's network.
  • the present embodiment makes it possible to take advantage of the fact that the after-sales services can be easily connected with an integrated and centralized library and possibly the fact that the vehicle itself is connected to a centralized library. by the car manufacturer.
  • the present embodiment is particularly easily implemented in the form of an application loaded on a touch pad or smartphone.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The invention relates to a device for identifying motor vehicle malfunctions, said device comprising a library of characteristics of sound and/or vibratory signals (9) and a search engine (10) that can compare at least one sound and/or vibratory characteristic (8) of a noise (2, 3) and/or vibration with characteristics from the library of characteristics of sound (9) and/or vibratory signals.

Description

DISPOSITIF DE DIAGNOSTIC DE VEHICULE AUTOMOBILE  DIAGNOSTIC DEVICE FOR A MOTOR VEHICLE
[0001 ] L'invention concerne les diagnostics de dysfonctionnement des véhicules automobiles, notamment par l'usage de bruits et de vibrations, normaux ou anormaux, émis par le véhicule.  The invention relates to malfunction diagnostics of motor vehicles, including the use of noises and vibrations, normal or abnormal, emitted by the vehicle.
[0002] A l'heure actuelle, les constructeurs automobiles déploient dans leurs centres après-vente essentiellement de la documentation technique telle que schémas, gammes, descriptions de fonctionnement, vocabulaire ou glossaire sur la nature des bruits. Ils déploient également des outils de mesure de paramètres de fonctionnement du véhicule et des outils de diagnostic connectés sur la prise diagnostic. At present, car manufacturers deploy in their after-sales centers essentially technical documentation such as diagrams, ranges, operating descriptions, vocabulary or glossary on the nature of noise. They also deploy tools for measuring vehicle operating parameters and diagnostic tools connected to the diagnostic socket.
[0003] Le diagnostic par l'oreille humaine ou le diagnostic par la prise de diagnostic sont efficaces localement, pour un garage, un bureau d'étude, mais ne bénéficient pas de l'expérience d'un constructeur à l'échelle d'un groupe tout entier, incluant les bureaux d'étude, la fabrication, les services qualité, et les services après-vente. La capitalisation et l'expérience dans le domaine acoustique sont fastidieuses à l'échelle humaine, pour un technicien de garage et compliquées à mettre en œuvre à l'échelle d'un constructeur. Diagnosis by the human ear or diagnosis by the diagnosis is effective locally, for a garage, a study office, but do not benefit from the experience of a manufacturer to the scale of an entire group, including design offices, manufacturing, quality services, and after-sales services. Capitalization and experience in the acoustic field are tedious on a human scale, for a garage technician and complicated to implement at the scale of a manufacturer.
[0004] Le but de l'invention est de proposer un moyen de mettre en œuvre une expertise acoustique à l'échelle d'un réseau entier tel que celui d'un constructeur automobile.  The object of the invention is to provide a means of implementing an acoustic expertise at the scale of an entire network such as that of a car manufacturer.
[0005] Ce but est atteint selon l'invention grâce à un dispositif d'identification de dysfonctionnement de véhicule automobile caractérisé en ce qu'il comprend un capteur sonore et/ou vibratoire, un appareil enregistrement d'un extrait sonore et/ou vibratoire émis par le véhicule, lequel extrait sonore et/ou vibratoire comprend un bruit et/ou une vibration émis(e) par le véhicule, lequel bruit et/ou laquelle vibration possède au moins une caractéristique, le dispositif comprenant en outre une bibliothèque de caractéristiques de signaux sonores et/ou vibratoires et un moteur de recherche apte à comparer, à partir de l'extrait sonore et/ou vibratoire enregistré, au moins une caractéristique du bruit et/ou de la vibration compris(e) dans l'extrait sonore et/ou vibratoire enregistré avec des caractéristiques de la bibliothèque. This object is achieved according to the invention with a motor vehicle malfunction identification device characterized in that it comprises a sound and / or vibration sensor, an apparatus for recording a sound and / or vibratory extract. emitted by the vehicle, which sound and / or vibratory sound comprises noise and / or vibration emitted by the vehicle, which noise and / or vibration has at least one characteristic, the device further comprising a feature library sound and / or vibration signals and a search engine able to compare, from the recorded sound and / or vibratory extract, at least one characteristic of the noise and / or vibration included in the sound extract and / or vibratory recorded with characteristics of the library.
[0006] Avantageusement, le dispositif est configuré pour isoler une sélection comprenant tout ou partie de l'extrait sonore et/ou vibratoire enregistré, laquelle sélection est réalisée par un utilisateur.  Advantageously, the device is configured to isolate a selection comprising all or part of the recorded sound and / or vibration extract, which selection is performed by a user.
[0007] Avantageusement encore, le dispositif est configuré pour isoler une sélection dans laquelle le dysfonctionnement apparaît et une autre sélection dans laquelle le dysfonctionnement n'apparait pas. [0008] Avantageusement, le moteur de recherche est configuré pour identifier au moins une caractéristique de la bibliothèque qui est similaire à ladite caractéristique du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré. [0007] Advantageously, the device is configured to isolate a selection in which the malfunction appears and another selection in which the malfunction does not appear. Advantageously, the search engine is configured to identify at least one characteristic of the library that is similar to said noise and / or vibration characteristic included in the selection of the sound and / or vibration extract. checked in.
[0009] Avantageusement, le dispositif comporte un module de séparation de sources sonores et/ou vibratoires superposées dans la sélection de l'extrait sonore et/ou vibratoire enregistré, lequel est configuré pour traiter cette sélection de manière à isoler ledit bruit ou ladite vibration compris(e) dans l'extrait sonore et/ou vibratoire émis par le véhicule, préalablement à l'identification au moins une caractéristique de la bibliothèque qui est similaire à ladite caractéristique du bruit et/ou de la vibration compris(e) dans l'extrait sonore et/ou vibratoire enregistré. Advantageously, the device comprises a module for separating sound sources and / or vibratory superimposed in the selection of the recorded sound and / or vibration extract, which is configured to process this selection so as to isolate said noise or vibration included in the sound and / or vibration extract issued by the vehicle, prior to the identification of at least one characteristic of the library which is similar to that characteristic of the noise and / or vibration included in the sound and / or vibratory sound recorded.
[0010] Avantageusement, le module de séparation de sources est configuré pour extraire de la sélection de l'extrait sonore et/ou vibratoire enregistré différents bruits et/ou différentes vibrations correspondant chacun(e) à des bruits et/ou des vibrations émis(es) par des organes différents du véhicule.  Advantageously, the source separation module is configured to extract from the selection of the sound extract and / or vibratory recorded different noises and / or different vibrations each corresponding (e) noise and / or vibrations emitted ( es) by different bodies of the vehicle.
[001 1 ] Avantageusement, la bibliothèque comprend au moins une caractéristique d'un signal sonore et/ou vibratoire émis(e) par un organe défaillant de véhicule et le moteur de recherche est configuré pour comparer au moins une caractéristique du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré avec la caractéristique de signal sonore et/ou vibratoire émis(e) par l'organe défaillant de véhicule. [001 1] Advantageously, the library comprises at least one characteristic of a sound signal and / or vibratory emitted by a faulty vehicle body and the search engine is configured to compare at least one characteristic of the noise and / or of the vibration included in the selection of the sound and / or vibratory sound extract recorded with the sound and / or vibration signal characteristic emitted by the vehicle failure member.
[0012] Avantageusement, la bibliothèque comprend au moins une caractéristique d'un signal sonore et/ou vibratoire émis par un organe sain de véhicule et le moteur de recherche est configuré pour comparer au moins une caractéristique du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré avec ladite au moins une caractéristique de signal sonore et/ou vibratoire émis par l'organe sain de véhicule. Advantageously, the library comprises at least one characteristic of a sound signal and / or vibratory emitted by a healthy body of the vehicle and the search engine is configured to compare at least one characteristic noise and / or vibration included (e) in the selection of the sound and / or vibration extract recorded with said at least one sound and / or vibration signal characteristic emitted by the sound vehicle organ.
[0013] Avantageusement, le dispositif est configuré pour établir que ladite au moins une caractéristique sonore et ou vibratoire du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré n'est similaire à aucune caractéristique de signal sonore et/ou vibratoire de la bibliothèque, pour enregistrer dans la bibliothèque ladite au moins une caractéristique du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire dans une telle situation, et pour comparer une caractéristique d'un bruit et/ou d'une vibration compris(e) dans un extrait sonore et/ou vibratoire ultérieurement enregistré à cette caractéristique de bruit et/ou de vibration nouvellement enregistrée dans la bibliothèque. [0014] Avantageusement, le dispositif est configuré pour acquérir au moins un paramètre indicatif d'un contexte d'utilisation du véhicule et le moteur de recherche est configuré pour tenir compte dudit au moins un paramètre indicatif du contexte d'utilisation du véhicule pour identifier une caractéristique de signal sonore et/ou vibratoire de la bibliothèque qui est similaire à la caractéristique du bruit et/ou de la vibration compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré. Advantageously, the device is configured to establish that said at least one sound and / or vibration characteristic of the noise and / or vibration included in the selection of the recorded sound and / or vibration extract is not similar. no sound and / or vibration signal characteristics of the library, for recording in the library said at least one characteristic of the noise and / or vibration included in the selection of the sound and / or vibration extract in a such a situation, and for comparing a characteristic of a noise and / or vibration included in a sound and / or vibratory sound extract subsequently recorded to this newly recorded noise and / or vibration characteristic in the library. Advantageously, the device is configured to acquire at least one parameter indicative of a context of use of the vehicle and the search engine is configured to take account of said at least one parameter indicative of the context of use of the vehicle to identify a sound and / or vibratory signal characteristic of the library which is similar to the noise and / or vibration characteristic included in the selection (A) of the recorded sound and / or vibration extract.
[0015] Avantageusement, le dispositif est configuré pour prendre en compte au moins un classement du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré lequel classement est réalisé par un utilisateur parmi une série de catégories de ressenti de bruit et/ou de vibration et le moteur de recherche est configuré pour tenir compte de ce classement pour identifier une caractéristique de signal sonore et/ou vibratoire de la bibliothèque qui est similaire à la caractéristique du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré.  Advantageously, the device is configured to take into account at least one rating of the noise and / or vibration included (e) in the selection of the recorded sound and / or vibratory sound which classification is performed by a user among a series of noise and / or vibration sensing categories and the search engine is configured to account for this rating to identify a sound and / or vibration signal characteristic of the library that is similar to the noise characteristic and / or or the vibration included in the selection of the recorded sound and / or vibration extract.
[0016] Avantageusement, la bibliothèque de caractéristiques de signaux sonores et/ou vibratoires est connectée à l'appareil d'enregistrement par l'intermédiaire du réseau internet. Advantageously, the library of characteristics of sound and / or vibration signals is connected to the recording apparatus via the Internet network.
[0017] Avantageusement, les caractéristiques de signaux sonores et/ou vibratoires de la bibliothèque sont associées chacune au bruit et/ou à la vibration d'un organe de véhicule et le dispositif est configuré pour identifier un organe du véhicule associé à ladite au moins une caractéristique sonore et/ou vibratoire du bruit et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré.  Advantageously, the characteristics of sound and / or vibration signals of the library are each associated with the noise and / or vibration of a vehicle member and the device is configured to identify a vehicle member associated with said at least one a sound and / or vibration characteristic of the noise and / or vibration included in the selection of the recorded sound and / or vibration extract.
[0018] Avantageusement, le dispositif comprend des moyens d'écoute de l'extrait sonore et/ou vibratoire enregistré.  Advantageously, the device comprises listening means of the recorded sound and / or vibration extract.
[0019] D'autres caractéristiques, buts et avantages de l'invention apparaîtront à la lecture de la description détaillée qui va suivre, faite en référence à la figure annexée qui est un diagramme représentant une suite d'étapes mises en œuvre dans un mode de réalisation de l'invention,  Other features, objects and advantages of the invention will appear on reading the detailed description which follows, made with reference to the attached figure which is a diagram showing a sequence of steps implemented in one mode. embodiment of the invention,
[0020] On décrira maintenant un dispositif d'identification de dysfonctionnement de véhicule automobile mettant en œuvre une suite d"étapes successives. Sur la figure annexée, une première étape consiste à réaliser un enregistrement d'un extrait sonore tel qu'émis par le véhicule, à l'aide d'un capteur et d'un appareil d'enregistrement. Un tel capteur est par exemple un microphone ou un accéléromètre connecté à une application hébergée par l'appareil d'enregistrement, l'application produisant des fichiers sonores ou vibratoires numérisés tels que des fichiers .wav . On enregistre dans une mémoire de l'appareil d'enregistrement alors l'extrait sonore ou vibratoire dans un fichier numérisé tel qu'un .wav. Cette étape de récupération d'un extrait sonore et/ou vibratoire dans un format numérique porte la référence 1 sur la figure. Une étape 2 consiste ici en une intervention humaine pour sélectionner un passage temporel où le problème de bruit apparaît, par exemple entre des instants t1 et t2 en secondes. Pour faire son choix, l'utilisateur peut, grâce à des moyens d'écoute approprié compris dans le dispositif, écouter l'extrait sonore et sa sélection autant de fois qu'il le souhaite. La portion de signal sélectionnée contient donc l'événement sonore à identifier, mais aussi toutes les autres sources de bruit simultanées superposées dans le même instant. Dans le cas d'un problème qui se répète dans le temps, l'utilisateur sélectionne une occurrence parmi plusieurs, pas nécessairement la première. Dans le cas d'un bruit stationnaire, l'utilisateur peut être amené à sélectionner l'extrait sonore complet. [0020] A motor vehicle malfunction identification device implementing a series of successive steps will now be described: In the appended FIGURE, a first step consists in making a recording of a sound extract as emitted by the vehicle, using a sensor and a recording apparatus, such a sensor is for example a microphone or an accelerometer connected to an application hosted by the recording apparatus, the application producing sound files or digitized vibratory devices such as .wav files, the sound or vibration extract in a digitized file is stored in a memory of the recording device. than a .wav. This step of recovering a sound and / or vibratory extract in a digital format has the reference 1 in the figure. A step 2 here consists of a human intervention to select a time passage where the noise problem appears, for example between instants t1 and t2 in seconds. To make his choice, the user can, through appropriate listening means included in the device, listen to the sound sample and its selection as many times as desired. The selected signal portion therefore contains the sound event to be identified, but also all other simultaneous noise sources superimposed in the same instant. In the case of a problem that repeats over time, the user selects one of several instances, not necessarily the first one. In the case of stationary noise, the user may be required to select the complete sound extract.
[0021 ] A l'étape 3, l'utilisateur isole les deux morceaux de signal, à savoir le passage temporel où le problème de bruit, autrement dit le dysfonctionnement apparaît - portion de signal nommée A -, et le reste de l'extrait sonore - portion de signal nommée B- dans laquelle le dysfonctionnement n'apparait pas. Le module de séparation, à l'étape 4, sépare les sources qui sont superposées dans la portion de signal audio, autrement dit dans la sélection de l'extrait sonore et/ou vibratoire enregistré, notamment les composantes de l'extrait sonore qui peuvent correspondre à différents organes du véhicule. Le module de séparation de sources travaille à partir de la sélection de l'extrait sonore ou vibratoire initialement enregistré et opère par filtrage pour isoler les sources. Il se différencie du module d'extraction de caractéristiques en ce que ce dernier travaille à partir des sources isolées par le module d'extraction pour dégager des grandeurs physiques caractérisant ces sources isolées.  In step 3, the user isolates the two pieces of signal, namely the time passage where the noise problem, in other words the malfunction appears - portion of signal named A -, and the rest of the extract sound - portion of signal named B- in which the malfunction does not appear. The separation module, in step 4, separates the sources that are superimposed in the audio signal portion, that is to say in the selection of the recorded sound and / or vibration extract, in particular the components of the sound extract which can correspond to different organs of the vehicle. The source separation module works from the selection of the sound or vibratory extract initially recorded and operates by filtering to isolate the sources. It differs from the feature extraction module in that it works from sources isolated by the extraction module to release physical quantities characterizing these isolated sources.
[0022] L'étape 5 consiste pour l'utilisateur à répondre à un questionnaire de contexte. Un tel questionnaire est idéalement affiché sur l'écran de l'équipement de diagnostic utilisé dans le garage. Par ce questionnaire, l'utilisateur indique un ou des paramètres indicatifs de contexte d'utilisation du véhicule au moment où le bruit apparaît. De tels paramètres peuvent être par exemple le régime moteur en tours par minute, la température du moteur, le fait que la soufflerie de la climatisation soit active, etc. En variante ou en complément, de tels paramètres peuvent être prélevés directement sur l'ordinateur de bord du véhicule, notamment par l'intermédiaire de la prise diagnostic du véhicule. Ainsi, pour fonctionner plus efficacement, les sources sonores, ou composants automobile bruyants, contenues dans l'extrait sont triées en fonction du contexte décrit par l'incident client. Par contexte, on entend les situations de vie du véhicule, les conditions d'apparition du bruit. On fait également appel ici à la typologie du bruit, qui, ici, repose sur la nature du bruit ressenti comme on le décrira ci-dessous. Le contexte peut être apporté par écrit comme avec une fiche d'incident, ou par mesure in-situ en lisant les paramètres du véhicule tels que vitesse, régime, rapport engagé. Step 5 is for the user to respond to a context questionnaire. Such a questionnaire is ideally displayed on the screen of the diagnostic equipment used in the garage. Through this questionnaire, the user indicates one or more parameters indicative of the context of use of the vehicle at the moment when the noise appears. Such parameters can be for example the engine speed in revolutions per minute, the temperature of the engine, the fact that the blower of the air conditioning is active, etc. As a variant or in addition, such parameters can be taken directly from the on-board computer of the vehicle, in particular via the diagnostic connector of the vehicle. Thus, to function more effectively, the sound sources, or noisy automobile components, contained in the extract are sorted according to the context described by the customer incident. By context, we mean the life situations of the vehicle, the conditions of appearance of noise. We also use here the typology of noise, which here is based on the nature of the noise as will be described below. The context can be provided in writing as with an incident sheet, or by in-situ measurement by reading the vehicle parameters such as speed, speed, gear engaged.
[0023] En complément, l'utilisateur saisit ici, selon son ressenti, une description du type de bruit ou de vibration parmi une série de catégories, selon une cartographie pré-établie. Ainsi, l'utilisateur classe le bruit ou la vibration parmi six catégories. La première catégorie consiste en une vibration, la deuxième catégorie consiste en un grognement-ronflement- bourdonnement, la troisième catégorie consiste en un claquement-cognement- craquement, la quatrième catégorie consiste en un grésillement-crépitement-cliquètement, la cinquième catégorie consiste en un grincement-couinement-crissement, la sixième catégorie consiste en un sifflement-sirène-chuintement-bruit d'air. Idéalement, les catégories révèlent d'une part un caractère temporel du bruit, par exemple une période de répétition d'un motif sonore et d'autre part un caractère tonal du bruit, par exemple le caractère fréquentiel conditionnant le ressenti en aigu ou grave.  In addition, the user enters here, according to his feelings, a description of the type of noise or vibration among a series of categories, according to a pre-established map. Thus, the user classifies noise or vibration among six categories. The first category consists of a vibration, the second category consists of a grunt-hum-buzz, the third category consists of a snap-cracking, the fourth category consists of a crackle-crackle-click, the fifth category consists of a squeak-squeak-squeak, the sixth category consists of a whistling-mermaid-hissing-air-sound. Ideally, the categories reveal, on the one hand, a temporal character of the noise, for example a period of repetition of a sound pattern and, on the other hand, a tonal character of the noise, for example the frequency characteristic conditioning the feeling in acute or serious.
[0024] A l'étape 6, on applique une série de règles basiques pour filtrer les sources responsables de l'incident bruit dans le contexte ainsi identifié de la cartographie de bruit. Avantageusement, on réalise le classement des types de bruits selon les catégories ci- dessus décrites car ces catégories traduisent une phénoménologie éprouvée de bruits automobiles et favorisent ainsi le diagnostic. Ainsi, dans un extrait sonore, on identifie si les bruits qui y sont présents sont majoritairement dans une catégorie donnée parmi les six catégories listées. Chaque type de bruit constitue donc une matrice dans la bibliothèque de caractéristiques de signaux sonores ou vibratoires. In step 6, a series of basic rules is applied to filter the sources responsible for the noise incident in the context thus identified of the noise map. Advantageously, the classification of the types of noise according to the categories described above is carried out because these categories reflect a proven phenomenology of automobile noise and thus promote diagnosis. Thus, in a sound extract, it is identified whether the sounds that are present are mainly in a given category among the six categories listed. Each type of noise therefore constitutes a matrix in the library of characteristics of sound or vibration signals.
[0025] A l'étape 7, le reste du signal audio non utile est séparé. A l'étape 8, les caractéristiques du signal et leurs probabilités statistiques sont extraites pour classer chaque source contenue dans la sélection de l'extrait. Pour chaque segment audio, on calcule par exemple les paramètres connus sous les appellations anglo-saxones de Energy Entropy Standard Déviation (std) - déviation standard de l'entropie énergétique en français-, Signal Energy Std by Mean (average) Ratio - ratio du standard d'énergie du signal rapporté à la moyenne -, Zéro Crossing Rate Std - standard du taux de croisement du zéro -, Spectral Rolloff Std - standard de l'atténuation spectrale -, Spectral Centroid Std - standard centroïde spectral -, Spectral Flux Std by Mean Ratio - ratio du standard de flux spectral rapporté à la moyenne -. On obtient ainsi plusieurs jeux d'estimateurs des caractéristiques du signal. Enfin chaque source peut être placée dans un repère de description. [0026] A l'étape 9, on utilise ladite bibliothèque de caractéristiques de signaux sonores ou vibratoires. Il s'agit par exemple d'une base de données établie à l'échelle d'un constructeur automobile. Une telle bibliothèque est avantageusement connectée à l'appareil d'enregistrement par l'intermédiaire du réseau internet. Une telle bibliothèque est une base de connaissance des bruits automobiles du constructeur. Elle contient les données audio par exemple des fichiers *.wav, ainsi que les informations contextuelles de chaque enregistrement, par exemple la définition du produit automobile, les conditions d'apparitions, les natures de bruits, les conditions de mesure acoustique. Les fichiers sonores peuvent provenir de l'enregistrement d'un véhicule sain, c'est-à-dire des bruits qu'émettent les organes du véhicule lorsqu'ils fonctionnent normalement. Les fichiers sonores peuvent également provenir de l'enregistrement d'un véhicule défaillant, comme c'est le cas pour un bruit produit par un mauvais montage, une non-conformité, une usure de pièce, ou un organe cassé ou défaillant, etc. In step 7, the remainder of the non-useful audio signal is separated. In step 8, the characteristics of the signal and their statistical probabilities are extracted to classify each source contained in the selection of the extract. For each audio segment, for example, the parameters known as Anglo-Saxon Energy Entropy Standard deviation (std) - standard deviation of energy entropy in French-, Signal Energy Std by mean (average) Ratio - ratio of standard of signal energy to mean -, Zero Crossing Rate Std - standard zero crossover rate -, Spectral Rolloff Std - standard spectral attenuation -, Spectral Centroid Std - standard spectral centroid -, Spectral Flux Std Mean Ratio - ratio of the average spectral flux standard. We thus obtain several sets of estimators of the characteristics of the signal. Finally each source can be placed in a description frame. In step 9, said library of characteristics of sound or vibration signals is used. This is for example a database established at the scale of a car manufacturer. Such a library is advantageously connected to the recording apparatus via the internet network. Such a library is a knowledge base of the automaker's automobile noises. It contains the audio data for example * .wav files, as well as the contextual information of each recording, for example the definition of the automobile product, the conditions of appearances, the natures of noises, the conditions of acoustic measurement. The sound files can come from the registration of a sound vehicle, that is to say of the noises emitted by the organs of the vehicle when they operate normally. The sound files can also come from the registration of a faulty vehicle, as is the case for a noise produced by a bad assembly, a non-conformity, a piece wear, or a broken or faulty organ, etc.
[0027] Cette bibliothèque contient de préférence toutes les caractéristiques utiles de chaque source ou organe de véhicule historiquement connu par le constructeur, et donc déjà calculées et encodées dans la base suivant la méthode qui sera décrite par la suite. Ces caractéristiques sont hiérarchisées suivant la structure de rangement de la base, ou sont utilisées pour construire et optimiser un modèle paramétrique en fonction de la méthode de classification choisie, notamment pour le cas d'utilisation d'un HMM - Hidden Markov Model en anglais, modèle de Markov caché en français -, dans le cas d'un GMM - Gaussian Mixture Model en anglais, modèle de mélange gaussien en français-, dans le cas d'un SVM - Support Vector Machine en anglais, Machine vectorielle de support en français -, ou dans le cas d'un NN - Neural Network en anglais, réseau neuronal en français -.  This library preferably contains all the useful characteristics of each source or vehicle member historically known by the manufacturer, and therefore already calculated and encoded in the database following the method which will be described later. These characteristics are hierarchical according to the storage structure of the database, or are used to build and optimize a parametric model according to the classification method chosen, especially for the case of using a HMM - Hidden Markov Model in English, Hidden Markov Model in French - in the case of a GMM - Gaussian Mixture Model in English, in the case of an SVM - Support Vector Machine in English, Support Vector Machine in French - or in the case of a NN - Neural Network in English, neural network in French -.
[0028] A l'étape 10, un moteur de recherche confronte les caractéristiques nouvellement extraites d'un enregistrement audio ou vibratoire à la bibliothèque de caractéristiques de signaux . Le principe consiste ici à placer les caractéristiques d'une source extraite dans le même espace de description que la bibliothèque. Nous obtenons une collection de distances entre les caractéristiques extraites et les caractéristiques connues nommées ici Dix. In step 10, a search engine confronts newly extracted features of an audio or vibratory record with the signal feature library. The principle here is to place the characteristics of an extracted source in the same description space as the library. We obtain a collection of distances between the extracted characteristics and the known characteristics named here D ix .
[0029] Au stade de l'étape 1 1 , les distances permettent de reconnaître les sources semblables aux cas connus de la bibliothèque. Les plus petites distances expriment un bon niveau de reconnaissance sonore et les grandes une moindre fiabilité dans la reconnaissance. Il suffit de faire un tri croissant pour obtenir une liste des sources reconnues les plus pertinentes. On considère qu'une source n'a pas été reconnue lorsque la somme de ses distances est supérieure à un certain seuil nommé ici Lix d'une classe déterminée à l'avance par le constructeur par expérience et validation cf.tel qu'à l'étape 12 ci-dessous. At the stage of step 1 1, the distances make it possible to recognize sources similar to the known cases of the library. The smaller distances express a good level of sound recognition and the larger ones a lower reliability in recognition. Just sort it out to get a list of the most relevant recognized sources. It is considered that a source has not been recognized when the sum of its distances is greater than a certain threshold named here L ix of a class determined in advance by the manufacturer by experience and validation cf as in step 12 below.
[0030] A l'étape 12, si l'ensemble des caractéristiques d'une source extraite ne permettent pas de la reconnaître, à savoir si la somme des distances Dix est supérieure à Lix où Lix est une limite réglée par expérience et validation, alors elles constituent un nouveau cas pour la base de données constructeur. Les caractéristiques de la base de données sont donc complétées et re-hiérarchisées afin d'apprendre le nouveau cas. On réalise ainsi une mise à jour de la bibliothèque de caractéristiques de signaux. L'ajout est avantageusement conditionné par la volonté du constructeur, selon l'analyse de la pertinence technique du nouveau cas pour la base et pour les méthodes internes à l'entreprise. In step 12, if all the characteristics of a source extracted do not allow to recognize it, namely if the sum of the distances D ix is greater than L ix where L ix is a limit set by experience and validation, so they constitute a new case for the manufacturer database. The characteristics of the database are thus completed and re-prioritized to learn the new case. This provides an update of the signal characteristic library. The addition is advantageously conditioned by the will of the manufacturer, according to the analysis of the technical relevance of the new case for the base and for the methods internal to the company.
[0031 ] A l'étape 14, d'après la liste des sources sonores « sans défaut » déduites de l'étape 13, il faut remonter aux organes automobiles sains liés à ces bruyances. La bibliothèque sonore ou vibratoire du constructeur permet d'établir ces liens vers les bruits conformes d'un véhicule sain. A l'étape 15, d'après la liste des sources sonores « avec défaut » de l'étape 13, il faut remonter aux organes automobiles défaillants liés à ces bruyances. La bibliothèque sonore ou vibratoire du constructeur permet d'établir ces liens vers les bruits de défaillances.  In step 14, according to the list of sound sources "without defect" deduced from step 13, we must go back to the healthy auto parts related to these noises. The builder's sound or vibration library makes it possible to establish these links to the compliant sounds of a healthy vehicle. In step 15, according to the list of sound sources "with default" of step 13, it is necessary to go back to the faulty automobile parts related to these noises. The builder's sound or vibration library makes it possible to establish these links to the sounds of failures.
[0032] Bien entendu des variantes au mode de réalisation décrit ci-dessus sont possibles. Ainsi il est possible de se dispenser de l'analyse de la portion de signal sans défaut B. Il est possible de ne pas filtrer les sources identifiées en fonction du contexte. Il est possible de ne pas faire de sélection manuelle tel qu'à l'étape 2 du bruit par rapport au reste de l'extrait sonore. Il est également possible de faire cette sélection dans une représentation Temps/Fréquence. Il est possible de procéder à une sélection automatique du bruit ou de la vibration basée sur un filtrage référencé tel qu'un filtrage de Wiener ou de Kalman. Of course, variants of the embodiment described above are possible. Thus it is possible to dispense with the analysis of the signal portion without defect B. It is possible not to filter the sources identified according to the context. It is possible not to make manual selection as in step 2 of the noise compared to the rest of the sound extract. It is also possible to make this selection in a Time / Frequency representation. It is possible to automatically select noise or vibration based on referenced filtering such as Wiener or Kalman filtering.
[0033] Le choix de la ou des Méthode(s) employée(s) pour classer les caractéristiques peut notamment être fait parmi les méthodes SVM - Support Vector Machine ou machine de support vectoriel - kNN - k-Nearest Neighbors en anglais ou voisins k-plus proches en français , HMM - Hidden Markov Model ou modèle de Markov caché en français -, GMM - Gaussian Mixture Model ou modèle de mélange Gaussien -, NN -Neural Network ou réseau neuronal -, DTW - Dynamic Time Warping en anglais ou alerte de temps dynamique en français, ainsi que leurs variantes et combinaisons de plusieurs modèles (modèles hybrides). On peut faire ou ne pas faire d'apprentissage des nouvelles caractéristiques. Différents modes de calcul de la limite entre sources connues et inconnues peuvent être adoptés. On peut se limiter à afficher les sources ou organes reconnu(e)s sans établir s'ils sont sains ou défaillants. The choice of the method (s) used (s) to classify the characteristics can be done among the methods SVM - Support Vector Machine or vector support machine - kNN - k-Nearest Neighbors in English or neighbors k -Nearest in French, HMM - Hidden Markov Model or Hidden Markov Model in French -, GMM - Gaussian Mixture Model or Gaussian Mixture Model -, NN -Neural Network or Neural Network -, DTW - Dynamic Time Warping in English or Alert dynamic time in French, as well as their variants and combinations of several models (hybrid models). We can do or not learn from new features. Different ways of calculating the boundary between known and unknown sources can be adopted. We can limit ourselves to displaying recognized sources or organs without establishing whether they are healthy or failing.
[0034] Le présent mode de réalisation permet un gain de temps, notamment une réparation plus rapide en après-vente. Il permet un gain en termes de qualité de réparation et de satisfaction client car la réparation est plus ciblée, et il se produit moins d'erreurs de diagnostic et moins de retours en atelier pour travail mal fait. Le présent mode de réalisation permet en outre un gain en termes de coût. Il permet une réduction des coûts de garantie, en évitant les erreurs de diagnostic, les défauts non reproduits, et les pièces déposées à tort ou sans cause identifiée. Le présent mode de réalisation permet ainsi de conserver la clientèle après-vente dans le réseau du constructeur.  The present embodiment saves time, including faster repair after-sales. It allows a gain in terms of quality of repair and customer satisfaction because the repair is more targeted, and there are fewer diagnostic errors and fewer returns to the workshop for work poorly done. The present embodiment further provides a gain in terms of cost. It allows a reduction of warranty costs, avoiding diagnostic errors, non-reproduced defects, and documents filed wrongly or without an identified cause. The present embodiment thus makes it possible to maintain the after-sales customer base in the manufacturer's network.
[0035] De plus, le présent mode de réalisation permet de mettre à profit le fait que les services après-vente peuvent être aisément connectés avec une bibliothèque intégrée et centralisée et éventuellement le fait que le véhicule est lui-même connecté à une bibliothèque centralisée par le constructeur automobile. Le présent mode de réalisation est notamment aisément mis en œuvre sous la forme d'une application chargée sur une tablette tactile ou un smartphone.  In addition, the present embodiment makes it possible to take advantage of the fact that the after-sales services can be easily connected with an integrated and centralized library and possibly the fact that the vehicle itself is connected to a centralized library. by the car manufacturer. The present embodiment is particularly easily implemented in the form of an application loaded on a touch pad or smartphone.

Claims

REVENDICATIONS
1 . Dispositif d'identification de dysfonctionnement de véhicule automobile caractérisé en ce qu'il comprend un capteur sonore et/ou vibratoire, un appareil enregistrement d'un extrait sonore et/ou vibratoire (1 ) émis par le véhicule, lequel extrait sonore et/ou vibratoire comprend un bruit (2,3) et/ou une vibration émis(e) par le véhicule, lequel bruit et/ou laquelle vibration possède au moins une caractéristique (8), le dispositif comprenant en outre une bibliothèque de caractéristiques de signaux sonores et/ou vibratoires (9) et un moteur de recherche (10) apte à comparer, à partir de l'extrait sonore et/ou vibratoire (1 ) enregistré, au moins une caractéristique (8) du bruit (2,3) et/ou de la vibration compris(e) dans l'extrait sonore et/ou vibratoire (1 ) enregistré avec des caractéristiques de la bibliothèque. 1. Device for identifying a malfunction of a motor vehicle characterized in that it comprises a sound and / or vibration sensor, an apparatus for recording a sound and / or vibration extract (1) emitted by the vehicle, which sound and / or sound extract vibratory device comprises a noise (2,3) and / or a vibration emitted by the vehicle, which noise and / or vibration has at least one characteristic (8), the device further comprising a library of sound signal characteristics and / or vibratory (9) and a search engine (10) able to compare, from the sound and / or vibratory sound extract (1) recorded, at least one characteristic (8) of the noise (2,3) and / or the vibration included in the sound and / or vibratory extract (1) recorded with characteristics of the library.
2. Dispositif selon la revendication 1 , caractérisé en ce qu'il est configuré pour isoler une sélection (A) comprenant tout ou partie de l'extrait sonore et/ou vibratoire (1 ) enregistré, laquelle sélection est réalisée par un utilisateur.  2. Device according to claim 1, characterized in that it is configured to isolate a selection (A) comprising all or part of the sound and / or vibratory sound extract (1) recorded, which selection is performed by a user.
3. Dispositif selon la revendication 2, caractérisé en ce qu'il est configuré pour isoler une sélection (A) dans laquelle le dysfonctionnement apparaît et une autre sélection (B) dans laquelle le dysfonctionnement n'apparait pas.  3. Device according to claim 2, characterized in that it is configured to isolate a selection (A) in which the malfunction appears and another selection (B) in which the malfunction does not appear.
4. Dispositif selon la revendication 2 ou la revendication 3, caractérisé en ce que le moteur de recherche (10) est configuré pour identifier au moins une caractéristique de la bibliothèque (9) qui est similaire à ladite caractéristique du bruit (2,3) et/ou de la vibration compris(e) dans la sélection de l'extrait sonore et/ou vibratoire enregistré (1 ).  Device according to claim 2 or claim 3, characterized in that the search engine (10) is configured to identify at least one characteristic of the library (9) which is similar to said noise characteristic (2,3) and / or the vibration included in the selection of the recorded sound and / or vibration extract (1).
5. Dispositif selon l'une quelconque des revendications 2 à 4, caractérisé en ce qu'il comporte un module de séparation de sources (4) sonores et/ou vibratoires superposées dans la sélection de l'extrait sonore et/ou vibratoire (1 ) enregistré, lequel est configuré pour traiter cette sélection de manière à isoler ledit bruit (2,3) ou ladite vibration compris(e) dans l'extrait sonore (1 ) et/ou vibratoire émis par le véhicule, préalablement à l'identification au moins une caractéristique de la bibliothèque (9) qui est similaire à ladite caractéristique du bruit (2,3) et/ou de la vibration compris(e) dans l'extrait sonore et/ou vibratoire enregistré (1 ).  5. Device according to any one of claims 2 to 4, characterized in that it comprises a module for separating sources (4) sound and / or vibratory superimposed in the selection of the sound extract and / or vibratory (1 ) recorded, which is configured to process this selection so as to isolate said noise (2,3) or said vibration included (e) in the sound extract (1) and / or vibratory issued by the vehicle, prior to identification at least one characteristic of the library (9) which is similar to said noise (2,3) and / or vibration characteristic included in the recorded sound and / or vibration extract (1).
6. Dispositif selon la revendication précédente, caractérisé en ce que le module de séparation de sources (4) est configuré pour extraire de la sélection de l'extrait sonore et/ou vibratoire (1 ) enregistré différents bruits et/ou différentes vibrations correspondant chacun(e) à des bruits et/ou des vibrations émis(es) par des organes différents du véhicule. 6. Device according to the preceding claim, characterized in that the source separation module (4) is configured to extract from the selection of the sound extract and / or vibratory (1) recorded different noises and / or different vibrations corresponding each (e) noises and / or vibrations emitted by different bodies of the vehicle.
7. Dispositif selon l'une quelconque des revendications 2 à 6, caractérisé en ce que la bibliothèque (9) comprend au moins une caractéristique (8) d'un signal sonore et/ou vibratoire émis(e) par un organe défaillant de véhicule et le moteur de recherche (10) est configuré pour comparer au moins une caractéristique (8) du bruit (2,3) et/ou de la vibration compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré (1 ) avec la caractéristique (8) de signal sonore et/ou vibratoire émis(e) par l'organe défaillant de véhicule. 7. Device according to any one of claims 2 to 6, characterized in that the library (9) comprises at least one characteristic (8) of a sound signal and / or vibratory emitted by a faulty vehicle member and the search engine (10) is configured to compare at least one characteristic (8) of the noise (2,3) and / or the vibration included in the selection (A) of the sound extract and / or vibratory recorded (1) with the characteristic (8) sound signal and / or vibratory emitted by the failing vehicle body.
8. Dispositif selon l'une quelconque des revendications 2 à 7, caractérisé en ce que la bibliothèque (9) comprend au moins une caractéristique (8) d'un signal sonore et/ou vibratoire émis par un organe sain de véhicule et le moteur de recherche (10) est configuré pour comparer au moins une caractéristique (8) du bruit et/ou de la vibration (2,3) compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré (1 ) avec ladite au moins une caractéristique (8) de signal sonore et/ou vibratoire émis par l'organe sain de véhicule.  8. Device according to any one of claims 2 to 7, characterized in that the library (9) comprises at least one characteristic (8) of an audible and / or vibratory signal emitted by a sound body of the vehicle and the engine of search (10) is configured to compare at least one characteristic (8) of the noise and / or vibration (2,3) included in the selection (A) of the recorded sound and / or vibration extract ( 1) with said at least one sound and / or vibration signal characteristic (8) emitted by the vehicle sound organ.
9. Dispositif selon l'une quelconque des revendications 2 à 8, caractérisé en ce qu'il est configuré pour établir que ladite au moins une caractéristique sonore et ou vibratoire (8) du bruit et/ou de la vibration (2,3) compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré (1 ) n'est similaire à aucune caractéristique de signal sonore et/ou vibratoire (8) de la bibliothèque (9), pour enregistrer dans la bibliothèque (9) ladite au moins une caractéristique (8) du bruit et/ou de la vibration (2,3) compris(e) dans la sélection de l'extrait sonore et/ou vibratoire (1 ) dans une telle situation, et pour comparer une caractéristique (8) d'un bruit et/ou d'une vibration (2,3) compris(e) dans un extrait sonore et/ou vibratoire ultérieurement enregistré (1 ) à cette caractéristique de bruit et/ou de vibration (8) nouvellement enregistrée dans la bibliothèque (9).  9. Device according to any one of claims 2 to 8, characterized in that it is configured to establish that said at least one sound and / or vibratory (8) noise and / or vibration (2,3) included in the selection (A) of the recorded sound and / or vibratory sound extract (1) is not similar to any sound and / or vibration signal characteristic (8) of the library (9), to record in the library (9) said at least one characteristic (8) of the noise and / or vibration (2,3) included in the selection of the sound and / or vibratory extract (1) in such a situation, and for comparing a characteristic (8) of a noise and / or vibration (2,3) included in a sound and / or vibratory sound extract subsequently recorded (1) to that noise and / or noise characteristic. vibration (8) newly recorded in the library (9).
10. Dispositif selon l'une quelconque des revendications 2 à 9, caractérisé en ce qu'il est configuré pour acquérir (5) au moins un paramètre indicatif d'un contexte d'utilisation du véhicule et le moteur de recherche (10) est configuré pour tenir compte dudit au moins un paramètre indicatif du contexte d'utilisation du véhicule (5) pour identifier une caractéristique de signal sonore et/ou vibratoire (8) de la bibliothèque (9) qui est similaire à la caractéristique (8) du bruit et/ou de la vibration (2,3) compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré (1 ).  10. Device according to any one of claims 2 to 9, characterized in that it is configured to acquire (5) at least one parameter indicative of a context of use of the vehicle and the search engine (10) is configured to account for said at least one parameter indicative of the context of use of the vehicle (5) for identifying a sound and / or vibration signal characteristic (8) of the library (9) which is similar to the characteristic (8) of the noise and / or vibration (2,3) included (e) in the selection (A) of the recorded sound and / or vibration extract (1).
1 1 . Dispositif selon l'une quelconque des revendications 2 à 10, caractérisé en ce qu'il est configuré pour prendre en compte (5,6) au moins un classement du bruit et/ou de la vibration (2,3) compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré (1 ) lequel classement (5,6) est réalisé par un utilisateur parmi une série de catégories de ressenti de bruit et/ou de vibration (5) et le moteur de recherche (10) est configuré pour tenir compte de ce classement (5,6) pour identifier une caractéristique de signal sonore et/ou vibratoire (8) de la bibliothèque (9) qui est similaire à la caractéristique (8) du bruit et/ou de la vibration (2,3) compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré (1 ). 1 1. Device according to any one of claims 2 to 10, characterized in that it is configured to take into account (5,6) at least one classification of noise and / or vibration (2,3) included in the selection (A) of the recorded sound and / or vibration extract (1) which classification (5, 6) is made by a user from a series of noise and / or vibration sensing categories (5) and the search engine (10) is configured to take account of this classification (5,6) to identify a sound and / or vibration signal characteristic (8) of the library (9) which is similar to the characteristic (8) of noise and / or vibration (2,3) included in the selection (A) of the recorded sound and / or vibration extract (1).
12. Dispositif selon l'une quelconque des revendications précédentes, caractérisé en ce que la bibliothèque de caractéristiques de signaux sonores et/ou vibratoires (9) est connectée à l'appareil d'enregistrement (1 ) par l'intermédiaire du réseau internet.  Device according to one of the preceding claims, characterized in that the library of sound and / or vibration signal characteristics (9) is connected to the recording apparatus (1) via the internet network.
13. Dispositif selon l'une quelconque des revendications précédentes, caractérisé en ce que les caractéristiques de signaux sonores et/ou vibratoires (8) de la bibliothèque (9) sont associées chacune au bruit et/ou à la vibration d'un organe de véhicule et le dispositif est configuré pour identifier un organe du véhicule associé à ladite au moins une caractéristique sonore et/ou vibratoire (8) du bruit et/ou de la vibration (2,3) compris(e) dans la sélection (A) de l'extrait sonore et/ou vibratoire enregistré (1 ).  13. Device according to any one of the preceding claims, characterized in that the characteristics of sound and / or vibration signals (8) of the library (9) are each associated with the noise and / or vibration of a body of vehicle and the device is configured to identify a vehicle member associated with the at least one sound and / or vibration characteristic (8) of the noise and / or vibration (2,3) included in the selection (A) the sound and / or vibratory sound recorded (1).
14. Dispositif selon l'une quelconque des revendications précédentes, caractérisé en ca qu'il comprend des moyens d'écoute de l'extrait sonore et/ou vibratoire (1 ) enregistré.  14. Device according to any one of the preceding claims, characterized in that it comprises means for listening to the sound and / or vibratory sound (1) recorded.
PCT/FR2015/052811 2014-11-26 2015-10-20 Diagnostics device for a motor vehicle WO2016083687A1 (en)

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FR1461465A FR3028945A1 (en) 2014-11-26 2014-11-26 DIAGNOSTIC DEVICE FOR A MOTOR VEHICLE

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CN113514147B (en) * 2021-05-18 2023-10-31 浙江吉利控股集团有限公司 Vehicle noise identification method, system, equipment and computer readable storage medium
CN114184274B (en) * 2021-11-19 2023-06-16 哈尔滨工程大学 Nonlinear characteristic diagnosis method for vibration signal interfered by high-frequency noise

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