CN109238727A - A kind of engine failure monitoring and warning system - Google Patents

A kind of engine failure monitoring and warning system Download PDF

Info

Publication number
CN109238727A
CN109238727A CN201811127000.2A CN201811127000A CN109238727A CN 109238727 A CN109238727 A CN 109238727A CN 201811127000 A CN201811127000 A CN 201811127000A CN 109238727 A CN109238727 A CN 109238727A
Authority
CN
China
Prior art keywords
engine
vibration
signal
abnormal
failure
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.)
Withdrawn
Application number
CN201811127000.2A
Other languages
Chinese (zh)
Inventor
不公告发明人
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.)
Guangzhou Wenbo Technology Co Ltd
Original Assignee
Guangzhou Wenbo Technology Co Ltd
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 Guangzhou Wenbo Technology Co Ltd filed Critical Guangzhou Wenbo Technology Co Ltd
Priority to CN201811127000.2A priority Critical patent/CN109238727A/en
Publication of CN109238727A publication Critical patent/CN109238727A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00Testing of engines
    • G01M15/04Testing internal-combustion engines
    • G01M15/05Testing internal-combustion engines by combined monitoring of two or more different engine parameters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00Testing of engines
    • G01M15/04Testing internal-combustion engines
    • G01M15/12Testing internal-combustion engines by monitoring vibrations

Landscapes

  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Combustion & Propulsion (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

The present invention provides a kind of engine failure monitoring and warning systems, which includes: signal acquisition module, are sent to signal processing module for acquiring the running state parameter of engine in real time, and by the running state parameter;The signal processing module receives the running state parameter, is handled in real time it, will treated failure operation information input fault pre-alarming module;The fault pre-alarming module receives the failure operation information, is monitored simultaneously early warning to the operation troubles of engine according to failure operation information and historical data.Engine failure monitoring and warning system provided by the invention can state parameter to the various aspects of engine and operation information be acquired and handle, realize comprehensive engine state monitor and fault state early warning.

Description

A kind of engine failure monitoring and warning system
Technical field
The present invention relates to routine for monitoring engine technical field, especially a kind of engine failure monitoring and warning system.
Background technique
Engine operation and maintenance cost are high, and maintenance theory is safeguarded by service life or state of the art to by can from past Change by the condition based maintenance direction that property requires, the new maintenance substantive requirements of form are to the reliable assessment of each stage engine condition progress and in advance It surveys.These requirements determine the health management system arranged main application of engine: by engine and component fault diagnosis and longevity Life prediction, the operation of comprehensive various aspects resource management engine, reduces the maintenance cost of engine.Start in currently existing scheme The health management system arranged processing to the acquisition and data that monitor data of machine, but its processing letter to engine luggine characteristic signal It is single, and the fault message of engine components or entirety is concealed in vibration signal just, therefore lack necessary vibration signal processing Means improve fault diagnosis functions, and then cannot achieve the comprehensive health monitoring of engine and management.
Summary of the invention
In view of the above-mentioned problems, the present invention is intended to provide a kind of engine failure monitoring and warning system, by engine The state parameter and operation information of various aspects are acquired and handle, and realize comprehensive engine state monitor and failure shape Condition early warning.
The purpose of the present invention is realized using following technical scheme:
A kind of engine failure monitoring and warning system includes: signal acquisition module, for acquiring the fortune of engine in real time Row state parameter, and signal processing module is sent by the running state parameter;The signal processing module receives the fortune Row state parameter handles it in real time, will treated failure operation information input fault pre-alarming module;The failure is pre- Alert module receives the failure operation information, carrys out the operation troubles to engine according to failure operation information and historical data It is monitored simultaneously early warning.
Preferably, the signal acquisition module includes: sensor group and signal manifold, and the sensor group is mounted on On all parts of engine, for acquiring the run signal in engine components in real time;The signal manifold is for obtaining The collected run signal of the sensor group and obtain status information in engine operation monitoring system.
Preferably, the sensor group include for acquire the binary channels acceleration transducer of engine vibration signal, For acquiring the baroceptor and temperature sensor of engine air passage system pressure signal.
Preferably, the signal processing module includes amplification filter unit, vibration fault detection unit and abnormal inspection Survey unit;The amplification filter unit receives vibration signal, pressure signal and the temperature signal of the sensor group acquisition, and Filtering is amplified to it;The vibration fault detection unit is used to handle by amplifying filtered vibration signal, By processing detection to abnormal vibration signal find the hidden failure of engine;The abnormality detecting unit is used for process The pressure signal and temperature signal for amplifying filtering are handled, to detect abnormal pressure signal and abnormal temperature signal.
Preferably, fault pre-alarming module obtains the abnormal vibration signal, abnormal pressure signal and abnormal temperature signal, And it is associated analysis to it, sorts out its failure menace level, and then generates Trouble Report and generates pre-warning signal.
Preferably, the vibration fault detection unit includes signal reconstruction subelement, feature extraction subelement and exception Evaluate and test subelement;The signal reconstruction subelement first carries out threshold segmentation to the vibration signal by amplification filtering, then merges Reconstruction obtains vibration subsignal;The feature extraction subelement passes through matrixing according to vibration subsignal building vibration matrix Calculate the vibration performance parameter of engine luggine;The abnormal evaluation and test subelement shakes to engine according to the vibration performance parameter Dynamic health is evaluated and tested, if measuring abnormal vibration, issues abnormal vibration signal to the fault pre-alarming module.
Preferably, health status evaluation and test is carried out to engine luggine according to the vibration performance parameter, wherein health status The evaluation and test model of evaluation and test are as follows:
In formula, PCFor the engine luggine health status evaluation result being calculated;γ is in the vibration performance parameter Vibration shape mode;Impact factor of the engine speed to vibration shape mode when y (v) is engine operation;f0For the engine luggine Standard vibration frequency when system worked well self-oscillation;ftFor the vibration frequency in the vibration performance parameter that extracts Rate;Maximum shaking volume when shaft rotates when R (s) is the engine operation detected;w0It is normal for the engine luggine system Standard vibration average amplitude when work self-oscillation;wtIt is averaged width for the vibration in the Faults by Vibrating that extracts Value;τ is association factor of the vibration shape mode to the rhythm of engine;ε is that the vibration shape mode vibrates average width to described The impact factor of value.
When the health status being calculated evaluates and tests factor PCLess than the health status set under engine work state Evaluate and test factor PCset, then regard as that there are abnormal vibrations.
The invention has the benefit that the present invention can state parameter to the various aspects of engine and operation information adopt Collection and processing, realize comprehensive engine state monitor and fault state early warning;And by the data monitored and failure Information generates Trouble Report, is sent to backstage, and then assist field maintenance operation to realize, provides theory to field maintenance and refer to It leads.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings Other attached drawings.
Fig. 1 is the comprising modules schematic diagram of the engine failure monitoring and warning system in a preferred embodiment of the invention.
Specific embodiment
In conjunction with following application scenarios, the invention will be further described.
Referring to Fig. 1, in the present embodiment, a kind of engine failure monitoring and warning system is provided, includes: signal acquisition mould Block is sent to signal processing module for acquiring the running state parameter of engine in real time, and by the running state parameter;Institute It states signal processing module and receives the running state parameter, it is handled in real time, failure operation information is defeated by treated Enter fault pre-alarming module;The fault pre-alarming module receives the failure operation information, according to failure operation information and goes through History data are monitored and early warning the operation troubles of engine.
In the present embodiment, the signal acquisition module includes: sensor group and signal manifold, the sensor group peace On all parts of engine, for acquiring the run signal in engine components in real time;The signal manifold is used for It obtains the collected run signal of the sensor group and obtains the status information in engine operation monitoring system.
In the present embodiment, the sensor group includes the binary channels acceleration sensing for acquiring engine vibration signal Device, baroceptor and temperature sensor for acquiring engine air passage system pressure signal.
In the present embodiment, the signal processing module includes amplification filter unit, vibration fault detection unit and different Normal detection unit;The amplification filter unit receives the vibration signal, pressure signal and temperature letter of the sensor group acquisition Number, and filtering is amplified to it;The vibration fault detection unit is used to carry out to by amplifying filtered vibration signal Processing, by processing detection to abnormal vibration signal find the hidden failure of engine;The abnormality detecting unit is used for The pressure signal and temperature signal that filter by amplification are handled, to detect abnormal pressure signal and abnormal temperature letter Number.
In the present embodiment, fault pre-alarming module obtains the abnormal vibration signal, abnormal pressure signal and abnormal temperature Signal, and be associated analysis to it, sort out its failure menace level, and then generate Trouble Report and generate pre-warning signal.
In the present embodiment, the vibration fault detection unit include signal reconstruction subelement, feature extraction subelement and Abnormal evaluation and test subelement;The signal reconstruction subelement first carries out threshold segmentation, then to the vibration signal by amplification filtering Converged reconstruction obtains vibration subsignal;The feature extraction subelement passes through matrix according to vibration subsignal building vibration matrix The vibration performance parameter of transformation calculations engine luggine;The abnormal evaluation and test subelement is according to the vibration performance parameter to starting Machine vibration health is evaluated and tested, if measuring abnormal vibration, issues abnormal vibration signal to the fault pre-alarming module.
In the present embodiment, the monitoring and warning system further includes communication module, and the communication module will by communication bus The signal data and Trouble Report monitored is sent to long-range central monitoring system.
In the present embodiment, the monitoring and warning system further includes data memory module, for storing collected sensor The Trouble Report that data and processing obtain.
In the present embodiment, threshold segmentation is first carried out to the vibration signal by amplification filtering and then converged reconstruction is shaken The detailed process of mover signal are as follows:
Firstly, maximum vibration amplitude when extracting engine work, takes 1.3 times of maximum vibration amplitude to be used as signal Partition threshold, and the rule according to historical vibration signal chooses appropriate signal intercepted length L;It is provided with M on the engine Binary channels acceleration transducer, each binary channels acceleration transducer collects corresponding vibration signal, in this way, collecting M altogether A vibration signal, wherein i-th of collected vibration signal of binary channels acceleration transducer is mi(t);It seeks in vibration signal Amplitude is equal to the discrete signal point of signal partition threshold and obtains its corresponding time point sequence t accordingly1, t2... .., tN, altogether Having N number of signal amplitude is the signaling point of partition threshold;Using each discrete signal point as starting point, intercepted length is the letter of L respectively backward Number section obtains a series of splitting signal m in turni(tn), wherein n ∈ N;Building is the right angle of the longitudinal axis by horizontal axis, amplitude of the time Coordinate system, the splitting signal that will acquire all move to coordinate origin, and the splitting signal after translation is mi′(tn);And then it is right Signal after segmentation carries out converged reconstruction and obtains vibration subsignal, wherein vibration subsignal seeks calculation formula are as follows:
In formula, SiFor the vibration subsignal calculated;N is the number of the splitting signal after translation;mi′(tn) it is by i-th Splitting signal after n-th of the translation obtained after vibration signal segmentation, wherein n ∈ N.
In this preferred embodiment, the vibration signal of described pair of amplification filtering is split, converged reconstruction is shaken in turn again Mover signal, compared with the existing technology in, vibration signal is not handled and is used directly to subsequent signal characteristic and seeks, such as This operation is so that the calculation amount of follow-up signal feature extraction is larger;Therefore above-mentioned technological means has been saved and has been calculated as in the present embodiment This, improves the response speed of system.
It is described according to vibration subsignal building vibration matrix in the present embodiment, engine luggine is calculated by matrixing Vibration performance parameter detailed process are as follows: the M vibration subsignal that above-mentioned processing obtains is obtained, according to the vibration subsignal Building vibration matrix K carries out singular value decomposition to matrix K and obtains submatrix V, orthogonal matrix C and diagonal matrix U and then calculating The vibration performance matrix of engine system;And then the vibration performance ginseng of engine system vibration is extracted from vibration performance matrix Amount.
In the present embodiment, the vibration performance parameter extracted include the rhythm of engine, vibration average amplitude and Engine vibration shape mode.
In the present embodiment, the calculation formula of the vibration performance matrix are as follows:
ZT={ Γ-1*[U-1*VT*K(k)+UT*V-1*K(-k)]*Γ}T*C
In formula, the ZTFor the obtained vibration performance matrix;Γ is by intermediary matrix [U-1*VT*K(k)+UT*V-1*K (- k)] diagonalization invertible matrix;U is to decompose obtained diagonal matrix;V is to decompose obtained submatrix;K (k) is by matrix K Carry out the matrix that positive time shift obtains;K (- k) is by carrying out the matrix that negative time shift obtains for matrix K;C is to decompose obtained orthogonal moment Battle array.
In this preferred embodiment, based on the vibration subsignal that above-mentioned processing obtains, pass through building vibration matrix and correspondence Matrixing, to realize the extraction to Faults by Vibrating;And in the prior art to the signal for including vibration performance information Mostly use time-frequency convert method seek feature, but its there are spectral aliasing problem, vibration performances easy to be lost;And the application uses Matrixing not only reduces calculation amount and also avoids the reduction problem of precision caused by time-frequency convert.
In the present embodiment, health status evaluation and test is carried out to engine luggine according to the vibration performance parameter, wherein health The evaluation and test model of state evaluation and test are as follows:
In formula, PCFor the engine luggine health status evaluation result being calculated;γ is in the vibration performance parameter Vibration shape mode;Impact factor of the engine speed to vibration shape mode when y (v) is engine operation;f0For the engine luggine Standard vibration frequency when system worked well self-oscillation;ftFor the vibration frequency in the vibration performance parameter that extracts Rate;Maximum shaking volume when shaft rotates when R (s) is the engine operation detected;w0It is normal for the engine luggine system Standard vibration average amplitude when work self-oscillation;wtIt is averaged width for the vibration in the Faults by Vibrating that extracts Value;τ is association factor of the vibration shape mode to the rhythm of engine;ε is that the vibration shape mode vibrates average width to described The impact factor of value.
When the health status being calculated evaluates and tests factor PCLess than the health status set under engine work state Evaluate and test factor PCset, then regard as that there are abnormal vibrations.
In this preferred embodiment, by carrying out health status evaluation and test to engine luggine according to vibration performance parameter, wherein The influence for considering the shaking amplitude of engine speed and shaft, data product when based on a large amount of engine actual motion It is tired, determine experience variable τ, ε therein;By above-mentioned evaluation and test model, can it is relatively accurate to engine system vibration whether Exception is monitored, and then realizes the early warning to vibration fault.
In the above embodiment of the present invention: providing a kind of engine failure monitoring and warning system can be to each side of engine The state parameter and operation information in face are acquired and handle, and realize that comprehensive engine state monitor and fault state are pre- It is alert;And the data monitored and fault message are generated into Trouble Report, it is sent to backstage, and then to realize auxiliary field maintenance Operation provides theoretical direction to field maintenance.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered Work as analysis, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention Matter and range.

Claims (7)

1. a kind of engine failure monitoring and warning system, which is characterized in that include: signal acquisition module, for acquiring in real time The running state parameter of engine, and signal processing module is sent by the running state parameter;The signal processing module The running state parameter is received, it is handled in real time, it will treated failure operation information input fault pre-alarming module; The fault pre-alarming module receives the failure operation information, comes according to failure operation information and historical data to engine Operation troubles be monitored and early warning.
2. a kind of engine failure monitoring and warning system according to claim 1, which is characterized in that the signal acquisition mould Block includes: sensor group and signal manifold, and the sensor group is mounted on all parts of engine, for adopting in real time Collect the run signal in engine components;The signal manifold for obtain the collected run signal of sensor group with And the status information in acquisition engine operation monitoring system.
3. a kind of engine failure monitoring and warning system according to claim 2, which is characterized in that the sensor group packet Include binary channels acceleration transducer for acquiring engine vibration signal, for acquiring engine air passage system pressure signal Baroceptor and temperature sensor.
4. a kind of engine failure monitoring and warning system according to claim 1, which is characterized in that the signal processing mould Block includes amplification filter unit, vibration fault detection unit and abnormality detecting unit;The amplification filter unit receives institute Vibration signal, pressure signal and the temperature signal of the acquisition of sensor group are stated, and amplifies filtering to it;The vibration fault Detection unit is used to handle by amplifying filtered vibration signal, by abnormal vibration signal that processing detection arrives come It was found that the hidden failure of engine;The abnormality detecting unit is used for the pressure signal and temperature signal by amplification filtering It is handled, to detect abnormal pressure signal and abnormal temperature signal.
5. a kind of engine failure monitoring and warning system according to claim 1, which is characterized in that the fault pre-alarming mould Block obtains the abnormal vibration signal, abnormal pressure signal and abnormal temperature signal, and is associated analysis to it, sorts out it Failure menace level, and then generate Trouble Report and generate pre-warning signal.
6. a kind of engine failure monitoring and warning system according to claim 4, which is characterized in that the vibration fault inspection Surveying unit includes signal reconstruction subelement, feature extraction subelement and abnormal evaluation and test subelement;The signal reconstruction subelement Threshold segmentation is first carried out to the vibration signal by amplification filtering and then converged reconstruction obtains vibration subsignal;The feature mentions It takes subelement according to vibration subsignal building vibration matrix, the vibration performance parameter of engine luggine is calculated by matrixing; The abnormal evaluation and test subelement evaluates and tests engine luggine health according to the vibration performance parameter, if it is different to measure vibration Often, then abnormal vibration signal is issued to the fault pre-alarming module.
7. a kind of engine failure monitoring and warning system according to claim 6, which is characterized in that described special according to vibration It levies parameter and health status evaluation and test is carried out to engine luggine, wherein the evaluation and test model of health status evaluation and test are as follows:
In formula, PCFor the engine luggine health status evaluation result being calculated;γ is the vibration shape in the vibration performance parameter Mode;Impact factor of the engine speed to vibration shape mode when y (v) is engine operation;f0Just for the engine luggine system Standard vibration frequency when often work self-oscillation;ftFor the vibration frequency in the vibration performance parameter that extracts;R(s) For detect engine operation when shaft rotate when maximum shaking volume;w0For the engine luggine system worked well self-excitation Standard vibration average amplitude when oscillation;wtFor the vibration average amplitude in the Faults by Vibrating that extracts;τ is described Association factor of the vibration shape mode to the rhythm of engine;ε be the vibration shape mode to it is described vibration average amplitude influence because Son;
When the health status being calculated evaluates and tests factor PCLess than set under engine work state health status evaluation and test because Sub- PCset, then regard as that there are abnormal vibrations.
CN201811127000.2A 2018-09-26 2018-09-26 A kind of engine failure monitoring and warning system Withdrawn CN109238727A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811127000.2A CN109238727A (en) 2018-09-26 2018-09-26 A kind of engine failure monitoring and warning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811127000.2A CN109238727A (en) 2018-09-26 2018-09-26 A kind of engine failure monitoring and warning system

Publications (1)

Publication Number Publication Date
CN109238727A true CN109238727A (en) 2019-01-18

Family

ID=65056251

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811127000.2A Withdrawn CN109238727A (en) 2018-09-26 2018-09-26 A kind of engine failure monitoring and warning system

Country Status (1)

Country Link
CN (1) CN109238727A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110136294A (en) * 2019-05-30 2019-08-16 山东超越数控电子股份有限公司 A kind of repair determining method of aero-engine, equipment and medium
CN110940528A (en) * 2019-12-19 2020-03-31 中国人民解放军海军士官学校 Method and system for identifying working modal parameters of diesel engine based on detonation excitation
CN112949524A (en) * 2021-03-12 2021-06-11 中国民用航空飞行学院 Engine fault detection method based on empirical mode decomposition and multi-core learning
CN115142974A (en) * 2021-08-31 2022-10-04 徐州汉凯汽车科技有限公司 Engine operation control method and control system
CN116859843A (en) * 2023-07-05 2023-10-10 安徽如柒信息科技有限公司 Production equipment fault monitoring method and system based on industrial big data
CN117433591A (en) * 2023-12-21 2024-01-23 河北省农林科学院农业信息与经济研究所 Automatic equipment monitoring system based on multi-sensor data

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103711645A (en) * 2013-11-25 2014-04-09 北京能高自动化技术股份有限公司 Wind generating set state evaluation method based on modeling parameter feature analysis
CN103728965A (en) * 2012-10-15 2014-04-16 中航商用航空发动机有限责任公司 Monitoring device and method for aircraft engine and FADEC system
US20180058253A1 (en) * 2016-08-31 2018-03-01 General Electric Technology Gmbh Advanced Tightness Test Evaluation Module For A Valve And Actuator Monitoring System
CN108375476A (en) * 2018-03-09 2018-08-07 中国水利水电科学研究院 A kind of Hydropower Unit health evaluating method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103728965A (en) * 2012-10-15 2014-04-16 中航商用航空发动机有限责任公司 Monitoring device and method for aircraft engine and FADEC system
CN103711645A (en) * 2013-11-25 2014-04-09 北京能高自动化技术股份有限公司 Wind generating set state evaluation method based on modeling parameter feature analysis
US20180058253A1 (en) * 2016-08-31 2018-03-01 General Electric Technology Gmbh Advanced Tightness Test Evaluation Module For A Valve And Actuator Monitoring System
CN108375476A (en) * 2018-03-09 2018-08-07 中国水利水电科学研究院 A kind of Hydropower Unit health evaluating method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
姜浩 等: "环境激励下桥梁结构模态参数识别方法的研究", 《振动与冲击》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110136294A (en) * 2019-05-30 2019-08-16 山东超越数控电子股份有限公司 A kind of repair determining method of aero-engine, equipment and medium
CN110940528A (en) * 2019-12-19 2020-03-31 中国人民解放军海军士官学校 Method and system for identifying working modal parameters of diesel engine based on detonation excitation
CN110940528B (en) * 2019-12-19 2022-04-19 中国人民解放军海军士官学校 Method and system for identifying working modal parameters of diesel engine based on detonation excitation
CN112949524A (en) * 2021-03-12 2021-06-11 中国民用航空飞行学院 Engine fault detection method based on empirical mode decomposition and multi-core learning
CN115142974A (en) * 2021-08-31 2022-10-04 徐州汉凯汽车科技有限公司 Engine operation control method and control system
CN116859843A (en) * 2023-07-05 2023-10-10 安徽如柒信息科技有限公司 Production equipment fault monitoring method and system based on industrial big data
CN116859843B (en) * 2023-07-05 2024-01-09 安徽如柒信息科技有限公司 Production equipment fault monitoring method and system based on industrial big data
CN117433591A (en) * 2023-12-21 2024-01-23 河北省农林科学院农业信息与经济研究所 Automatic equipment monitoring system based on multi-sensor data
CN117433591B (en) * 2023-12-21 2024-02-27 河北省农林科学院农业信息与经济研究所 Automatic equipment monitoring system based on multi-sensor data

Similar Documents

Publication Publication Date Title
CN109238727A (en) A kind of engine failure monitoring and warning system
CN103471841B (en) A kind of rotating machinery vibrating failure diagnosis method
CN108871434B (en) Online monitoring system and method for rotating equipment
CN109029589B (en) Bridge structures safety condition monitoring system
CA2875071A1 (en) Method and system for testing operational integrity of a drilling rig
CN109186744A (en) Turbine blade Evaluation of Cracks system and turbine blade crack warning method
CN104297003B (en) The fault monitoring method of the bogie rotary part based on dynamic alert threshold value
CN102072144A (en) Vibration and noise online monitoring and fault diagnosis system of scroll compressor
CN108195584B (en) A kind of Fault Diagnosis of Roller Bearings based on accuracy spectrogram
CN105181338A (en) Engine state monitoring and fault diagnosis method based on vibration and fluid information
CN109443769B (en) Motor bearing state detection method, system and device and readable storage medium
CN110469496B (en) Intelligent early warning method and system for water pump
CN113562562A (en) Elevator safety early warning monitoring system and judgment method thereof
CN106323664A (en) Vibration test and diagnosis method of air conditioning unit, device and air conditioner unit
CN113408068A (en) Random forest classification machine pump fault diagnosis method and device
CN102706563A (en) Detection method for neighbor abnormities of gas turbine
CN111678699B (en) Early fault monitoring and diagnosing method and system for rolling bearing
CN111999087A (en) Vibration screen online state monitoring method based on LabVIEW
GB2277151A (en) Machine monitoring using neural network
KR102545672B1 (en) Method and apparatus for machine fault diagnosis
CN117093945A (en) Online monitoring and fault analysis system for rotary machine state
CN116880454A (en) Intelligent diagnosis system and method for vehicle faults
CN109598309B (en) Detection system and monitoring method of metal packaging punching machine
CN101504309A (en) Analysis method for reciprocating mechanical vibration signal
CN107702919A (en) Sliding bearing lubricating state monitoring method based on sound emission

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication
WW01 Invention patent application withdrawn after publication

Application publication date: 20190118