FR3101164B1 - Procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique, produit programme d'ordinateur et dispositif associés - Google Patents

Procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique, produit programme d'ordinateur et dispositif associés Download PDF

Info

Publication number
FR3101164B1
FR3101164B1 FR1910604A FR1910604A FR3101164B1 FR 3101164 B1 FR3101164 B1 FR 3101164B1 FR 1910604 A FR1910604 A FR 1910604A FR 1910604 A FR1910604 A FR 1910604A FR 3101164 B1 FR3101164 B1 FR 3101164B1
Authority
FR
France
Prior art keywords
theory
time
data
line
calculating
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
FR1910604A
Other languages
English (en)
Other versions
FR3101164A1 (fr
Inventor
Mouafo Serge Romaric Tembo
Daniel Philip Venmani
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to FR1910604A priority Critical patent/FR3101164B1/fr
Publication of FR3101164A1 publication Critical patent/FR3101164A1/fr
Application granted granted Critical
Publication of FR3101164B1 publication Critical patent/FR3101164B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3447—Performance evaluation by modeling
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
    • G06F11/0793—Remedial or corrective actions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3013—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is an embedded system, i.e. a combination of hardware and software dedicated to perform a certain function in mobile devices, printers, automotive or aircraft systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466—Performance evaluation by tracing or monitoring
    • G06F11/3476—Data logging
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G06N5/013—Automatic theorem proving
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/45—Nc applications
    • G05B2219/45071—Aircraft, airplane, ship cleaning manipulator, paint stripping

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Algebra (AREA)
  • Probability & Statistics with Applications (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Computational Linguistics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Test And Diagnosis Of Digital Computers (AREA)
  • Hardware Redundancy (AREA)

Abstract

Le procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique comporte les étapes suivantes: - sélectionner (220) peu de données pertinentes telles que chaque ligne de données soit bien représentative d'une configuration ou d'un état du système ou des états similaires; - pour chaque ligne de données, définir (230) un processus qui essaye de spécialiser la théorie ou le modèle initial du système à cette ligne en cherchant à modifier la structure et les paramètres de la théorie pour augmenter autant que possible la vraisemblance de cette ligne de données; - spécifier (240) la coopération entre tous les processus en concurrence pour effectuer des modifications cohérentes sur la théorie; - calculer (250) le consensus issu de cette coopération qui combine les résultats des essais de spécialisation de la théorie à chaque ligne de données; - appliquer (260) le consensus spécifiant l'ensemble des modifications cohérentes à effectuer sur la théorie pour obtenir une généralisation de la théorie à toutes les lignes de données sélectionnées; - pour apprendre avec parcimonie chaque tranche de temps d'un réseau bayésien dynamique (RBD), effectuer (270) une itération des étapes (220), (230), (240), (250) et (260) pour chaque tranche de temps; - décomposer (280) le réseau bayésien dynamique selon la topologie du système ou les connexions entre les composants du système; - calculer (290) les explications de pannes et les prédictions de pannes de façon parallèle et distribuer sur le réseau bayésien dynamique (RBD) décomposé; - calculer (300) des actions horodatées de correction des pannes diagnostiquées ou des actions horodatées de prévention des pannes prédites.
FR1910604A 2019-09-25 2019-09-25 Procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique, produit programme d'ordinateur et dispositif associés Active FR3101164B1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR1910604A FR3101164B1 (fr) 2019-09-25 2019-09-25 Procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique, produit programme d'ordinateur et dispositif associés

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1910604A FR3101164B1 (fr) 2019-09-25 2019-09-25 Procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique, produit programme d'ordinateur et dispositif associés
FR1910604 2019-09-25

Publications (2)

Publication Number Publication Date
FR3101164A1 FR3101164A1 (fr) 2021-03-26
FR3101164B1 true FR3101164B1 (fr) 2023-08-04

Family

ID=70008579

Family Applications (1)

Application Number Title Priority Date Filing Date
FR1910604A Active FR3101164B1 (fr) 2019-09-25 2019-09-25 Procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique, produit programme d'ordinateur et dispositif associés

Country Status (1)

Country Link
FR (1) FR3101164B1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230259113A1 (en) * 2022-02-11 2023-08-17 Novity, Inc. Subsystem-level model-based diagnosis

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9349103B2 (en) * 2012-01-09 2016-05-24 DecisionQ Corporation Application of machine learned Bayesian networks to detection of anomalies in complex systems
US10417076B2 (en) * 2014-12-01 2019-09-17 Uptake Technologies, Inc. Asset health score
WO2018009643A1 (fr) * 2016-07-07 2018-01-11 Aspen Technology, Inc. Procédés et systèmes informatiques permettant de réaliser une analyse de cause profonde et de construire un modèle prédictif pour des occurrences d'événements rares dans des opérations à l'échelle de l'usine

Also Published As

Publication number Publication date
FR3101164A1 (fr) 2021-03-26

Similar Documents

Publication Publication Date Title
Haghiri et al. Optimum coagulant forecasting by modeling jar test experiments using ANNs
FR3101164B1 (fr) Procédé de maintenance prédictive parcimonieuse en temps réel d'un système critique, produit programme d'ordinateur et dispositif associés
Chen et al. Fault diagnosis method for machinery in unsteady operating condition by instantaneous power spectrum and genetic programming
US20150095756A1 (en) Method and apparatus for multi-loop, real-time website optimization
US11630446B2 (en) Reluctant first principles models
EP2897011A1 (fr) Procédé et système de simulation pour la simulation d'une installation industrielle automatisée
Roth Interpreting event-studies from recent difference-in-differences methods
Cupiał et al. Optimisation of the machinery park with the use of OTR-7 software in context of sustainable agriculture
CN111367969B (zh) 一种数据挖掘方法和系统
DE202022103462U1 (de) Ein System zum Streaming und zur Speicherung heterogener Sensordatenströme unter Verwendung eines Microservices-Architekturmodells
Patil et al. Life prediction of bearing by using adaboost regressor
Scanniello et al. A controlled experiment for assessing the contribution of design pattern documentation on software maintenance
Alexander Discrete event simulation for batch processing
CN111524023A (zh) 温室调节方法及系统
WO2014154281A1 (fr) Configuration, basée sur des objets, d'une installation de processus industriel et/ou de fabrication
Groot et al. Adaptation of clinical practice guidelines
JP2020140641A5 (ja) 情報処理装置、方法、制御装置及び装置
US20220156548A1 (en) System and Method for Improving a Processing System
JP7257262B2 (ja) 評価システム、評価方法及びプログラム
Maeda et al. A knowledge sharing platform for learning from others’ code
Michelson Automating meta-analyses of randomized clinical trials: a first look
Khadimee The sources of economic growth in Iran’s economy
Salleh et al. Fuzzy expert system for troubleshooting of the deodorizer unit in a palm oil refining plant
Truong et al. Development of virtual control engineering experiments
Elish et al. Investigation of Aspect-Oriented Metrics for Stability Assessment: A Case Study.

Legal Events

Date Code Title Description
PLFP Fee payment

Year of fee payment: 3

PLSC Publication of the preliminary search report

Effective date: 20210326

PLFP Fee payment

Year of fee payment: 5