CN107942164A - Power supply unit method for diagnosing faults - Google Patents
Power supply unit method for diagnosing faults Download PDFInfo
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- CN107942164A CN107942164A CN201711134733.4A CN201711134733A CN107942164A CN 107942164 A CN107942164 A CN 107942164A CN 201711134733 A CN201711134733 A CN 201711134733A CN 107942164 A CN107942164 A CN 107942164A
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- power supply
- supply unit
- cloud
- diagnosing faults
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- General Physics & Mathematics (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The present invention relates to the fault diagnosis field of power supply unit, open power supply unit method for diagnosing faults, the power supply unit method for diagnosing faults includes：Step 1, the operation data to power supply unit and environmental data are acquired and to form sample data；Step 2, the operation data and environmental data that detect are analyzed by cloud generator, excavates the concept of correlation for influencing prediction object, and then establish corresponding cloud language prediction rule；Step 3, with reference to the uncertain cloud mould of backward cloud generator generation corresponding concepts；Step 4, uncertain inference rule is constructed according to condition cloud generator, using electrical equipment fault prediction model of the One-Dimensional Normal Cloud model foundation based on cloud reasoning, is powered equipment and realizes that failure rate is predicted.The power supply unit method for diagnosing faults overcomes the problem of fault diagnosis is inaccurate in the prior art, realizes the diagnosis of power supply trouble.
Description
Technical field
The present invention relates to the fault diagnosis field of power supply unit, and in particular, to power supply unit method for diagnosing faults.
Background technology
Power supply reliability is directly related to the security of Rail Transit System operation, if power supply unit breaks down, often
It can often cause track traffic to stop transport, or even trigger security incident, not only result in huge economic loss, more likely jeopardize and multiply
The personal safety of visitor, causes extremely severe social influence.Rail line is grown, and power supply unit is various, and inspection point is more, tradition
Staff on duty routine inspection mode be difficult to the maintenance needs for meeting equipment.Power supply unit is carried out using data acquisition and monitoring control
Monitoring and control, are widely used, become development trend.In recent years, it is wireless to pass as wireless communication technique is constantly progressive
Application study of the transferring technology in electric power facility monitoring field is quickly grown, the European and American developed countries one including U.S.'s DianKeYuan
A little research institutions actively develop the research of the direction always in recent years.Compared to foreign countries, the country involves in power equipment wireless monitor skill
Art field relatively late, but have developed rapidly in recent years, some products developed oneself through put into practical application.
Power supply unit on-line fault diagnosis are not mature enough with prediction model, and adaptability is not high, can only often meet specific
Under the conditions of forecast demand, it is difficult to adapt to various complicated, influence the accuracy of fault diagnosis and fault prediction.
The content of the invention
The object of the present invention is to provide a kind of power supply unit method for diagnosing faults, which overcomes
The problem of fault diagnosis is inaccurate in the prior art, realizes the diagnosis of power supply trouble.
To achieve these goals, the present invention provides a kind of power supply unit method for diagnosing faults, which examines
Disconnected method includes：
Step 1, the operation data to power supply unit and environmental data are acquired and to form sample data；
Step 2, the operation data and environmental data that detect are analyzed by cloud generator, excavates influence prediction
The concept of correlation of object, and then establish corresponding cloud language prediction rule；
Step 3, with reference to the uncertain cloud mould of backward cloud generator generation corresponding concepts；
Step 4, uncertain inference rule is constructed according to condition cloud generator, is based on using One-Dimensional Normal Cloud model foundation
The electrical equipment fault prediction model of cloud reasoning, is powered equipment and realizes that failure rate is predicted.
Preferably, in step 1, the operation data gathered include：
Gather input current signal, input voltage signal, output current signal and the output voltage signal of power supply unit.
Preferably, in step 1, the method that the operation data to power supply unit are acquired includes：
Gather the input current signal, input voltage signal, output electricity of power supply unit respectively by voltmeter and ammeter
Flow signal and output voltage signal.
Preferably, in step 1, the method being acquired to the environmental data of power supply unit includes：
Pass through the temperature value of temperature sensor senses power supply unit；Pass through the humidity of humidity sensor inductively powered apparatus
Value.
Preferably, in step 1, the ozone concentration data of power supply unit are gathered, by Digital Signal Processing to smelly
Oxygen concentration data carries out calculating analysis.
Preferably, in step 2, whether there are insulation defect, contact by the analysis to ozone concentration data, evaluation and test equipment
Bad, overcurrent and heat and the situation of arcing.
Asked through the above technical solutions, the on-line fault diagnosis of power supply unit is a typical uncertain reasoning prediction
Topic, this project realize the fault diagnosis to power supply unit using Clouds theory.The operation data of accumulation collection form sample data, lead to
Cross cloud generator to analyze the sample data detected, excavate the related qualitativing concept for influencing prediction object, Jin Erjian
Found corresponding cloud language prediction rule；Then in conjunction with the uncertain cloud model of backward cloud generator generation corresponding concepts；According to bar
Part cloud generator construction uncertain inference rule, using electrical equipment fault of the One-Dimensional Normal Cloud model foundation based on cloud reasoning
Prediction model, is powered equipment and realizes that failure rate is predicted.
Other features and advantages of the present invention will be described in detail in subsequent specific embodiment part.
Brief description of the drawings
Attached drawing is for providing a further understanding of the present invention, and a part for constitution instruction, with following tool
Body embodiment is used to explain the present invention together, but is not construed as limiting the invention.In the accompanying drawings：
Fig. 1 is the flow chart for illustrating a kind of power supply unit method for diagnosing faults of the present invention.
Embodiment
The embodiment of the present invention is described in detail below in conjunction with attached drawing.It should be appreciated that this place is retouched
The embodiment stated is merely to illustrate and explain the present invention, and is not intended to limit the invention.
The present invention provides a kind of power supply unit method for diagnosing faults, which includes：
Step 1, the operation data to power supply unit and environmental data are acquired and to form sample data；
Step 2, the operation data and environmental data that detect are analyzed by cloud generator, excavates influence prediction
The concept of correlation of object, and then establish corresponding cloud language prediction rule；
Step 3, with reference to the uncertain cloud mould of backward cloud generator generation corresponding concepts；
Step 4, uncertain inference rule is constructed according to condition cloud generator, is based on using One-Dimensional Normal Cloud model foundation
The electrical equipment fault prediction model of cloud reasoning, is powered equipment and realizes that failure rate is predicted.
Asked through the above technical solutions, the on-line fault diagnosis of power supply unit is a typical uncertain reasoning prediction
Topic, this project realize the fault diagnosis to power supply unit using Clouds theory.The operation data of accumulation collection form sample data, lead to
Cross cloud generator to analyze the sample data detected, excavate the related qualitativing concept for influencing prediction object, Jin Erjian
Found corresponding cloud language prediction rule；Then in conjunction with the uncertain cloud model of backward cloud generator generation corresponding concepts；According to bar
Part cloud generator construction uncertain inference rule, using electrical equipment fault of the One-Dimensional Normal Cloud model foundation based on cloud reasoning
Prediction model, is powered equipment and realizes that failure rate is predicted.
In a kind of embodiment of the present invention, in step 1, the operation data gathered can include：
Gather input current signal, input voltage signal, output current signal and the output voltage signal of power supply unit.
Pass through above-mentioned embodiment, it is possible to achieve input current signal, input voltage signal, output current signal and defeated
Go out the collection of voltage signal.
In a kind of embodiment of the present invention, in step 1, what the operation data to power supply unit were acquired
Method can include：
Gather the input current signal, input voltage signal, output electricity of power supply unit respectively by voltmeter and ammeter
Flow signal and output voltage signal.
Current signal and voltage signal are acquired by voltmeter and ammeter using above-mentioned embodiment.
In a kind of embodiment of the present invention, in step 1, the environmental data of power supply unit is acquired
Method can include：
Pass through the temperature value of temperature sensor senses power supply unit；Pass through the humidity of humidity sensor inductively powered apparatus
Value.
By above-mentioned embodiment, the temperature value and humidity value of power supply unit can be gathered in real time, power supply is realized and sets
The collection and use of standby environmental data.
In a kind of embodiment of the present invention, in step 1, the ozone concentration data of power supply unit are gathered, led to
Cross Digital Signal Processing and calculating analysis is carried out to ozone concentration data.
In a kind of embodiment of the present invention, in step 2, pass through the analysis to ozone concentration data, evaluation and test
Whether equipment has insulation defect, loose contact, overcurrent and heat and the situation of arcing.
The preferred embodiment of the present invention is described in detail above in association with attached drawing, still, the present invention is not limited to above-mentioned reality
The detail in mode is applied, in the range of the technology design of the present invention, a variety of letters can be carried out to technical scheme
Monotropic type, these simple variants belong to protection scope of the present invention.
It is further to note that each particular technique feature described in above-mentioned embodiment, in not lance
In the case of shield, can be combined by any suitable means, in order to avoid unnecessary repetition, the present invention to it is various can
The combination of energy no longer separately illustrates.
In addition, various embodiments of the present invention can be combined randomly, as long as it is without prejudice to originally
The thought of invention, it should equally be considered as content disclosed in this invention.
Claims (6)
1. a kind of power supply unit method for diagnosing faults, it is characterised in that the power supply unit method for diagnosing faults includes：
Step 1, the operation data to power supply unit and environmental data are acquired and to form sample data；
Step 2, the operation data and environmental data that detect are analyzed by cloud generator, excavates influence prediction object
Concept of correlation, and then establish corresponding cloud language prediction rule；
Step 3, with reference to the uncertain cloud mould of backward cloud generator generation corresponding concepts；
Step 4, uncertain inference rule is constructed according to condition cloud generator, is pushed away using One-Dimensional Normal Cloud model foundation based on cloud
The electrical equipment fault prediction model of reason, is powered equipment and realizes that failure rate is predicted.
2. power supply unit method for diagnosing faults according to claim 1, it is characterised in that in step 1, the fortune gathered
Row data include：
Gather input current signal, input voltage signal, output current signal and the output voltage signal of power supply unit.
3. power supply unit method for diagnosing faults according to claim 1, it is characterised in that in step 1, to power supply unit
The method that is acquired of operation data include：
The input current signal, input voltage signal, output current for gathering power supply unit respectively by voltmeter and ammeter are believed
Number and output voltage signal.
4. power supply unit method for diagnosing faults according to claim 1, it is characterised in that in step 1, to power supply unit
The method that is acquired of environmental data include：
Pass through the temperature value of temperature sensor senses power supply unit；Pass through the humidity value of humidity sensor inductively powered apparatus.
5. power supply unit method for diagnosing faults according to claim 1, it is characterised in that in step 1, collection power supply is set
Ozone concentration data are carried out calculating analysis by standby ozone concentration data by Digital Signal Processing.
6. power supply unit method for diagnosing faults according to claim 1, it is characterised in that in step 2, by ozone
Whether the analysis of concentration data, evaluation and test equipment have insulation defect, loose contact, overcurrent and heat and the situation of arcing.
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| CN201711134733.4A CN107942164A (en) | 2017-11-16 | 2017-11-16 | Power supply unit method for diagnosing faults |
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| CN201711134733.4A CN107942164A (en) | 2017-11-16 | 2017-11-16 | Power supply unit method for diagnosing faults |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110244216A (en) * | 2019-07-01 | 2019-09-17 | 桂林电子科技大学 | Analog-circuit fault diagnosis method based on cloud model optimization PNN |
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