CN109238727A - A kind of engine failure monitoring and warning system - Google Patents
A kind of engine failure monitoring and warning system Download PDFInfo
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- 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
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- 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
- G01M15/05—Testing internal-combustion engines by combined monitoring of two or more different engine parameters
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- 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
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- Combustion & Propulsion (AREA)
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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
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.
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Cited By (6)
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)
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 |
-
2018
- 2018-09-26 CN CN201811127000.2A patent/CN109238727A/en not_active Withdrawn
Patent Citations (4)
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)
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)
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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 |
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Application publication date: 20190118 |