CN108520302A - A kind of diesel engine failure diagnosis system - Google Patents
A kind of diesel engine failure diagnosis system Download PDFInfo
- Publication number
- CN108520302A CN108520302A CN201810243340.5A CN201810243340A CN108520302A CN 108520302 A CN108520302 A CN 108520302A CN 201810243340 A CN201810243340 A CN 201810243340A CN 108520302 A CN108520302 A CN 108520302A
- Authority
- CN
- China
- Prior art keywords
- diesel engine
- type
- current failure
- access tool
- failure type
- 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.)
- Pending
Links
- 238000003745 diagnosis Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 claims abstract description 8
- 230000008569 process Effects 0.000 claims abstract description 4
- 239000000523 sample Substances 0.000 claims description 8
- 238000012549 training Methods 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000013505 freshwater Substances 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000013535 sea water Substances 0.000 description 1
- 238000013022 venting Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
- G06N5/025—Extracting rules from data
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computational Linguistics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Testing Of Engines (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The invention discloses a kind of diesel engine failure diagnosis systems, including：Data acquisition module, expert system, historical data base, database access tool are equipped in expert system：Inference machine, database access tool, image display module, data acquisition module are used to acquire temperature, power output, rotating speed, the torque parameter in diesel engine operational process, and inference machine is used to include being used for：Access tool of controlling database transfers the history typical fault type in historical data base, using temperature, power output, rotating speed, torque parameter as learning sample, obtain current failure type, current failure type and history typical fault type are subjected to Correlation Reasoning, the current failure type by related sex rate more than 70% passes through image display module display.Expert system intelligent decision current failure type, and the correlation of historical failure type and current failure type is calculated, the type class of current failure type is obtained, has the characteristics that reliability is high.It can be used for the diesel engine failure diagnosis of ship.
Description
Technical field
The present invention relates to the Technigue in Trouble Hunting of Diesel Engines field, more particularly to a kind of diesel engine failure diagnosis system.
Background technology
Diesel engine is the major impetus system of spot ship, some events inevitably occur in use
Barrier, the generation of these failures not only influence the normal operation of equipment, accident are will produce when serious, or even jeopardize personal safety.Cause
How this, effectively carry out condition monitoring, quick diagnosis to diesel engine and debug, improve the safe and reliable property of diesel engine,
The important topic studied for a long time as people.
The diagnosis of the current failure for diesel engine generally stays at the experience for relying on electromechanical personnel, using listen,
The methods of see, but these methods are completely dependent on the attainment and working condition of electromechanical personnel itself, therefore, this method exists steady
It is qualitative bad, the not high drawback of reliability.
Invention content
The purpose that the present invention solves is：A kind of diesel engine failure diagnosis system that reliability is high is provided.
The solution that the present invention solves its technical problem is：A kind of diesel engine failure diagnosis system, including：Data acquire
Module, expert system, historical data base, database access tool are equipped in the expert system：Inference machine, database access
Tool, image display module, the data acquisition module be used to acquire temperature in diesel engine operational process, power output, rotating speed,
Torque parameter, the inference machine are used to include being used for：Access tool of controlling database transfers the typical case of the history in historical data base
Fault type, using temperature, power output, rotating speed, torque parameter as learning sample, study obtains current failure type, will current event
Hinder type and carry out Correlation Reasoning with history typical fault type, the current failure type by related sex rate more than 70% passes through
Image display module display comes out.
Further, the inference machine is mounted with the fault diagnosis model based on LS-SVM.
Further, the data acquisition module includes：Temperature sensor, exports force snesor, speed probe, and torque passes
Sensor.
Further, the database access tool includes：One of MySQL, webcat, Kettle.
The beneficial effects of the invention are as follows：The invention utilizes the judgement current failure type of expert system intelligence, and leads to
The correlation for calculating historical failure type and current failure type is crossed, to reasonably obtain the type kind of current failure type
Class has reliability height, the good feature of stability.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described.Obviously, described attached drawing is a part of the embodiment of the present invention, rather than is all implemented
Example, those skilled in the art without creative efforts, can also be obtained according to these attached drawings other designs
Scheme and attached drawing.
Fig. 1 is the system block diagram of the invention system.
Specific implementation mode
The technique effect of the design of the present invention, concrete structure and generation is carried out below with reference to embodiment and attached drawing clear
Chu is fully described by, to be completely understood by the purpose of the present invention, feature and effect.Obviously, described embodiment is this hair
Bright a part of the embodiment, rather than whole embodiments, based on the embodiment of the present invention, those skilled in the art are not being paid
The other embodiment obtained under the premise of creative work, belongs to the scope of protection of the invention.In addition, be previously mentioned in text
All connection/connection relations not singly refer to component and directly connect, and refer to that can be added deduct according to specific implementation situation by adding
Few couple auxiliary, to form more preferably coupling structure.Each technical characteristic in the invention, in not conflicting conflict
Under the premise of can be with combination of interactions.
Embodiment 1, with reference to figure 1, a kind of diesel engine failure diagnosis system, including：Data acquisition module, expert system are gone through
History database, database access tool are equipped in the expert system：Inference machine, database access tool, graphical display mould
Block, the data acquisition module are used to acquire temperature, power output, rotating speed, the torque parameter in diesel engine operational process.
This system needs to be trained diesel engine fault type before operation, to obtain fault diagnosis model, this
The fault diagnosis model based on LS-SVM that embodiment uses.First, the fault type of diesel engine, the diesel engine of ship are set
Following a few class failures can be divided into according to different system, as shown in table 1：
Table 1
The data acquisition module includes：Temperature sensor exports force snesor, speed probe, torque sensor.It will
This 4 kinds of sensors be individually positioned in sea water service system, the fresh water circulatory system, oil system, fuel system, crankcase gas venting system,
Exhaust system, diesel engine main bearing, in starting system.To collect the data of boat diesel engine as training sample, and
Batch training is carried out to data using LS-SVM models, boat diesel engine higher-dimension sample is classified and returned, judges its event
Hinder type, fault diagnosis model is trained according to training sample.And the fault diagnosis model is loaded on inference machine, together
When, fault type is stored in as history typical fault type in historical data base.
When the system is operating, the diesel engine data that data collecting module collected arrives, and inference machine is transmitted the data to, institute
Inference machine to be stated to learn the data by fault diagnosis model, study obtains current failure type, meanwhile, the reasoning
Machine transfers the history typical fault type in historical data base by access tool of controlling database, and the history is typical former
The current failure type that barrier type is obtained with study is made inferences using KPCA (principal component analysis) algorithm, obtains the typical event of history
Hinder type sex rate related to current failure type, and the current failure type by related sex rate more than 70% is regarded as very
Real fault type, and come out by image display module display, maintain easily the health status that personnel understand diesel engine in time.
As an optimization, the database access tool includes：One of MySQL, webcat, Kettle.
The better embodiment of the present invention is illustrated above, but the invention is not limited to the implementation
Example, those skilled in the art can also make various equivalent modifications or be replaced under the premise of without prejudice to spirit of that invention
It changes, these equivalent modifications or replacement are all contained in the application claim limited range.
Claims (4)
1. a kind of diesel engine failure diagnosis system, including：Data acquisition module, it is characterised in that：Further include：Expert system is gone through
History database, database access tool are equipped in the expert system：Inference machine, database access tool, graphical display mould
Block, the data acquisition module is used to acquire temperature, power output, rotating speed, the torque parameter in diesel engine operational process, described to push away
Reason machine is used to include being used for：Access tool of controlling database transfers the history typical fault type in historical data base, with temperature,
Power output, rotating speed, torque parameter are learning sample, and study obtains current failure type, and current failure type and history is typical
Fault type carries out Correlation Reasoning, and the current failure type by related sex rate more than 70% passes through image display module display
Out.
2. a kind of diesel engine failure diagnosis system according to claim 1, it is characterised in that：The inference machine is mounted with base
In the fault diagnosis model of LS-SVM.
3. a kind of diesel engine failure diagnosis system according to claim 1, which is characterized in that the data acquisition module packet
It includes：Temperature sensor exports force snesor, speed probe, torque sensor.
4. a kind of diesel engine failure diagnosis system according to claim 1, which is characterized in that the database access tool
Including：One of MySQL, webcat, Kettle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810243340.5A CN108520302A (en) | 2018-03-23 | 2018-03-23 | A kind of diesel engine failure diagnosis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810243340.5A CN108520302A (en) | 2018-03-23 | 2018-03-23 | A kind of diesel engine failure diagnosis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108520302A true CN108520302A (en) | 2018-09-11 |
Family
ID=63434098
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810243340.5A Pending CN108520302A (en) | 2018-03-23 | 2018-03-23 | A kind of diesel engine failure diagnosis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108520302A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110261122A (en) * | 2019-06-20 | 2019-09-20 | 大连理工大学 | A kind of boat diesel engine fault monitoring method based on piecemeal |
| CN112002114A (en) * | 2020-07-22 | 2020-11-27 | 温州大学 | Electromechanical equipment wireless data acquisition system and method based on 5G-ZigBee communication |
| CN112360625A (en) * | 2020-10-27 | 2021-02-12 | 中船动力有限公司 | Intelligent fault diagnosis system for marine diesel engine based on expert system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09146631A (en) * | 1995-11-24 | 1997-06-06 | Ishikawajima Harima Heavy Ind Co Ltd | Fault diagnostic system |
| CN106779066A (en) * | 2016-12-02 | 2017-05-31 | 上海无线电设备研究所 | A kind of radar circuit plate method for diagnosing faults |
| CN106778828A (en) * | 2016-11-28 | 2017-05-31 | 哈尔滨工程大学 | Based on the diesel fuel system multi-fault recognizing method for simplifying Bayesian model |
| CN107328582A (en) * | 2017-08-25 | 2017-11-07 | 中国人民解放军镇江船艇学院 | Diesel engine fault detection means |
-
2018
- 2018-03-23 CN CN201810243340.5A patent/CN108520302A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09146631A (en) * | 1995-11-24 | 1997-06-06 | Ishikawajima Harima Heavy Ind Co Ltd | Fault diagnostic system |
| CN106778828A (en) * | 2016-11-28 | 2017-05-31 | 哈尔滨工程大学 | Based on the diesel fuel system multi-fault recognizing method for simplifying Bayesian model |
| CN106779066A (en) * | 2016-12-02 | 2017-05-31 | 上海无线电设备研究所 | A kind of radar circuit plate method for diagnosing faults |
| CN107328582A (en) * | 2017-08-25 | 2017-11-07 | 中国人民解放军镇江船艇学院 | Diesel engine fault detection means |
Non-Patent Citations (1)
| Title |
|---|
| 李怀俊: "《基于核主元模糊聚类的旋转机械故障诊断技术研究》", 31 July 2016, 成都：西南交通大学出版社 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110261122A (en) * | 2019-06-20 | 2019-09-20 | 大连理工大学 | A kind of boat diesel engine fault monitoring method based on piecemeal |
| CN110261122B (en) * | 2019-06-20 | 2020-06-16 | 大连理工大学 | Marine diesel engine fault monitoring method based on blocks |
| CN112002114A (en) * | 2020-07-22 | 2020-11-27 | 温州大学 | Electromechanical equipment wireless data acquisition system and method based on 5G-ZigBee communication |
| CN112360625A (en) * | 2020-10-27 | 2021-02-12 | 中船动力有限公司 | Intelligent fault diagnosis system for marine diesel engine based on expert system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111507489A (en) | Cloud-edge-coordinated amusement equipment fault prediction and health management system and method | |
| CN110529202B (en) | Steam turbine fault diagnosis detection and early warning method and system based on power plant data | |
| CN110738331A (en) | intelligent marine engine room system | |
| CN108520302A (en) | A kind of diesel engine failure diagnosis system | |
| Aiello et al. | Propulsion monitoring system for digitized ship management: preliminary results from a case study | |
| CN110766277A (en) | Health assessment and diagnosis system and mobile terminal for nuclear industry field | |
| CN113703410B (en) | Wisdom operation platform of wisdom power plant | |
| CN110261122A (en) | A kind of boat diesel engine fault monitoring method based on piecemeal | |
| CN108801641A (en) | The fault diagnosis of exhaust-driven turbo-charger exhaust-gas turbo charger and Reliability Prediction Method and its system | |
| CN110987439B (en) | Aeroengine fault prediction method based on Logitics regression and Xgboost model | |
| CN108593302A (en) | A kind of low-speed diesel engine fault diagnosis system | |
| CN112124229A (en) | Remote real-time fault diagnosis method for emergency pump truck | |
| CN113847950A (en) | Intelligent ship equipment state monitoring system based on cloud computing and information interaction method | |
| CN116228186A (en) | Ship cabin intelligent operation and maintenance system based on human engineering | |
| CN108593304A (en) | Nuclear power Emergency diesel multi-state alert status monitors and diagnostic analysis system and method | |
| KR102457752B1 (en) | Method of real time fault detection and diagnosis for onboard engine room and system for forperming the same | |
| CN118192449A (en) | Protection early warning, analysis and diagnosis method for gas-steam combined cycle generator set | |
| CN117775226A (en) | Unmanned ship power plant health state evaluation system and method | |
| CN116537965B (en) | On-line monitoring and fault diagnosis device for diesel engine | |
| CN113313365A (en) | Degradation early warning method and device for primary air fan | |
| CN115285318A (en) | Diesel outboard engine fault prediction and health management device and working method | |
| Zhao et al. | Remote intelligent expert system for operation state of marine gas turbine engine | |
| CN115774847A (en) | Diesel engine performance evaluation and prediction method and system | |
| Wei et al. | Multi-sensor monitoring based on-line diesel engine anomaly detection with baseline deviation | |
| CN113296491A (en) | Fault diagnosis device and system for nuclear power emergency diesel generating set |
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 | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: 528000 Foshan Institute of science and technology, Xianxi reservoir West Road, Shishan town, Nanhai District, Foshan City, Guangdong Province Applicant after: Foshan University Address before: 528000 Foshan Institute of science and technology, Xianxi reservoir West Road, Shishan town, Nanhai District, Foshan City, Guangdong Province Applicant before: FOSHAN University Country or region before: China |
|
| CB02 | Change of applicant information |