CN106199373A - Electronic equipment intelligent failure diagnosis method and device - Google Patents

Electronic equipment intelligent failure diagnosis method and device Download PDF

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CN106199373A
CN106199373A CN201510213470.0A CN201510213470A CN106199373A CN 106199373 A CN106199373 A CN 106199373A CN 201510213470 A CN201510213470 A CN 201510213470A CN 106199373 A CN106199373 A CN 106199373A
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trouble
shooter
voltage
temperature
fault
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朱大奇
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OCEAN APPLIED ACOUSTIC-TECH Co Ltd
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OCEAN APPLIED ACOUSTIC-TECH Co Ltd
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Abstract

The present invention relates to a kind of electronic equipment intelligent failure diagnosis method and device, belong to electronic failure detection and diagnostic field, disclose a kind of Fault Diagnosis System for Integrated Circuit using information fusion.The core of this system is to introduce among the fault location of electronic circuit by information fusion technology, by data message of both the temperature of electronic component during test electronic circuit work and key point voltage, and utilize D-S evidence theory that information is effectively merged, thus accurately hunt out fault element.Additionally invention also provides the implementation method about said system, the method combines multidimensional information processing mode by present system, information fusion technology is introduced among the fault location of integrated circuit, make which raises the degree of accuracy to Fault of Integrated Circuits diagnosis, thus solve conventional single-sensor fault diagnosis and generally there is the not enough shortcoming that fault diagnosis accuracy rate is relatively low.

Description

Electronic equipment intelligent failure diagnosis method and device
Technical field:
The present invention relates to electronic failure detect and diagnosis, particularly to a kind of system by the multichannel heat transfer agent of detection and fusion integrated circuit component, it being carried out fault diagnosis in circuit running and its implementation.
Background technology:
Nowadays, in the modern microelectronic circuit with integrated circuit as core, owing to the scale of equipment is increasing, performance and composition are the most complicated, and in equipment, the fault of any one components and parts all may cause partial function to lose efficacy or whole equipment malfunction.So, development along with electronic technology, electronic circuit integration degree improves day by day, the most urgent to the reliability maintainability of electronic circuit and the requirement of automatic trouble diagnosis, the research of On Fault Diagnosis of Analog Circuits has important meaning in fields such as Aero-Space electronic equipment, armament systems, ship electronic.
But the fault detection and location of electronic equipment, the always work of a sufficiently complex difficulty.Particularly analog circuit fault diagnosing, conventional method is fault dictionary method, by the voltage of key point or the current signal of single-sensor test component, then with normal operating conditions numeric ratio relatively, it is judged that device whether fault.But this kind of method fault location accuracy rate is low, reason is in the case of many, after in circuit, certain element breaks down, not only itself output signal distortion, and affect the function of other normal component being attached thereto, the most also make their coherent signal distortion, say, that before and after circuit, element influences each other, if directly voltage or the current signal of diagnostic element is treated in test, it is difficult to accurately judge whether faulty.
In known prior art, as in the disclosure of Panasonic Electric Equipment Industrial Co., Ltd's Patent No. 97122481.1, the voltage signal test utilizing circuit components positions fault spot, the program exists for fault mode and influences each other, the shortcoming that defective device locating accuracy is relatively low.Additionally, in electrical power industry bureau of Guangdong Province experimentation in the scheme announced of 03114324.5 patent, fault diagnosis to as if motor, it judges the different faults type of motor by the current signal of single-sensor testing of electric motors, owing to being single-sensor fault detect, equally exist the problem that fault diagnosis accuracy rate is the highest.Generally there is the deficiency that fault diagnosis accuracy rate is relatively low in single-sensor fault diagnosis as can be seen here.
Comparatively speaking, multi-sensor information fusion technology provides a brand-new approach.It mainly uses multidimensional information processing mode, is introduced among the fault location of electronic circuit by information fusion technology, thus accurately hunts out fault element.And at present in this technical field, the most do not compare complete feasible relevant art.
Summary of the invention:
First purpose of the present invention is to provide a kind of fault diagnosis system using information fusion.
Second object of the present invention is to provide the implementation method of application said system.
The technical scheme that foregoing invention is used, its core is to introduce among the fault location of electronic circuit by information fusion technology, by data message of both the temperature of electronic component during test electronic circuit work and key point voltage, and utilize D-S evidence theory that information is effectively merged, thus accurately hunt out fault element.
A kind of fault diagnosis system using information fusion of the present invention, this system includes possessing test component Vital Voltage and carry out the voltage signal sampling device of preprocessing function, possess the temperature signal of test component and carry out the temperature signal sampling apparatus of preprocessing function and the voltage received and temperature signal can be carried out use processing, provides the trouble-shooter of resultant fault diagnostic result;The signal output part of described voltage signal sampling device connects trouble-shooter by serial line interface;The outfan of described temperature signal sampling apparatus connects trouble-shooter by USB interface.
Voltage signal sampling device in said system includes voltage value display window RS232 serial communication port probe signals and amplifies filtration module A/D converter and on and off switch;Treat that the Vital Voltage of diagnostic circuit element is received signal by probe and amplified filtration module, then carry out A/D conversion, carry out numerical value window simultaneously and show, under Communication driver control, transmit voltage tester value by RS232 serial communication port to trouble-shooter.
Temperature signal sampling apparatus in said system includes Temperature numerical display window usb communication mouth thermal imaging system signal and amplifies filtration module A/D converter and on and off switch;Thermal imaging system is directed at each and treats diagnostic circuit element, obtain temperature signal, then be amplified filtration module A/D conversion process, carry out numerical value window simultaneously and show, under Communication driver control, transmit temperature test value by usb communication mouth to trouble-shooter 3.
Trouble-shooter in said system includes Temperature numerical display screen RS232 serial communication port usb communication mouth and on and off switch;Its major control its with voltage signal sampling device and the data communication of temperature signal sampling apparatus, it is achieved temperature and the Fuzzy Processing of voltage signal, carry out D-S use processing and fault element judge.
It addition, said system is realizing the method employed in process, the method particular content is:
1) voltage signal sampling device collection is used to treat diagnostic circuit element Vital Voltage signal;Use temperature signal sampling apparatus (thermal infrared imager TH7700) to gather and treat diagnostic circuit element manipulation temperature signal;
2) in voltage signal sampling device, voltage signal is amplified filter preprocessing;In temperature signal sampling apparatus, temperature signal is amplified filter preprocessing;
3) in trouble-shooter, to from the voltage signal of voltage signal sampling device and the temperature signal of temperature signal sampling apparatus, carry out Fuzzy Processing respectively, obtain two groups and represent that each treats that diagnostic circuit element belongs to the membership function value of likelihood of failure, then recycling D-S evidence principle carries out data fusion, obtain a comprehensive fault membership function value, thus accurately judge faulty circuit element.
In described method step, the key point voltage of voltage signal sampling device, temperature signal sampling apparatus sample circuit element respectively and component temperature signal.
In described method step, trouble-shooter analytical data and tracing trouble component, completed by built-in control driver, this control program includes sampling routine signal procedure and profiler three part, sampling routine is built in voltage signal sampling device and temperature signal sampling apparatus, drives sampling apparatus to complete signal sampling task;Signal procedure is built in signal sampling device and trouble-shooter respectively, controls data communication between any two and preservation;Profiler is built in trouble-shooter, completes data Fuzzy Processing information fusion and the fault verification of component.
In described method step, the probe of voltage signal sampling device is received in each key point treating diagnostic circuit element, after signal stabilization, click on the " voltage sample " button of trouble-shooter (notebook computer) data acquisition interface, then trouble-shooter starts signal procedure, by serial line interface, voltage signal is sent into trouble-shooter and preserves.
In described method step, the thermal imaging system of temperature signal sampling apparatus is directed at each and treats diagnostic circuit element, after signal stabilization, click on the " temperature sampling " button of trouble-shooter data acquisition interface, then trouble-shooter starts signal procedure, and is preserved component temperature signal feeding trouble-shooter by USB interface.
In described method step, enter data analysis and the Diagnostics Interfaces of trouble-shooter, click on the " voltage process " button of trouble-shooter data analysis and Diagnostics Interfaces, then trouble-shooter starts Fuzzy data processing program, the voltage data gathered is carried out Fuzzy Processing, and each obtaining that voltage signal represents treats that diagnostic circuit element belongs to the membership function value of likelihood of failure and preserves.
In described method step, enter data analysis and the Diagnostics Interfaces of trouble-shooter, click on the " Temperature Treatment " button of trouble-shooter data analysis and Diagnostics Interfaces, then trouble-shooter starts Fuzzy data processing program, the temperature data gathered is carried out Fuzzy Processing, and each obtaining that temperature signal represents treats that diagnostic circuit element belongs to the membership function value of likelihood of failure and preserves.
In described method step, enter data analysis and the Diagnostics Interfaces of trouble-shooter, click on the " information fusion " button of trouble-shooter data analysis and Diagnostics Interfaces, then trouble-shooter starts information fusion program, D-S evidence principle is utilized to carry out information fusion the two groups of fault membership function values obtained through Fuzzy Processing, obtain a comprehensive fault membership function value, accurately judge faulty circuit element further according to maximum membership grade principle.
The prominent effect of the present invention is:
1. use multisensor (voltage sensor and temperature sensor), Acquisition Circuit fault message from different perspectives, improve the accuracy of fault verification;
2. use D-S evidence principle to carry out the fusion treatment of fault message, utilize evidence theory to process the outstanding advantage of fuzzy uncertain sex chromosome mosaicism, solve the fault diagnosis fuzzy problem of analog circuit and Digital Analog Hybrid Circuits;
3. using D-S evidence principle to carry out fault message fusion treatment, desired data amount is less, it is to avoid during neural network information fusion processes, fault sample is difficult to the bottleneck problem obtained.
Accompanying drawing illustrates:
Fig. 1 is the signal wiring diagram of the present invention;
Fig. 2 is the signals collecting interface schematic diagram of the present invention;
Fig. 3 is the signal analysis Diagnostics Interfaces schematic diagram of the present invention;
Fig. 4 be the enforcement 1 of this patent be diagnosed circuit diagram;
Fig. 5 be the enforcement 2 of this patent be diagnosed circuit diagram;
Fig. 6 is the Troubleshooting Flowchart in this patent embodiment;
Detailed description of the invention:
With reference to the accompanying drawings the trouble-shooter of embodiments of the invention is further described.
See Fig. 1, the fault diagnosis system that use information fusion a kind of for the present invention, this system includes possessing test component Vital Voltage and carry out the voltage signal sampling device 1 of preprocessing function, possess the temperature signal of test component and carry out the temperature signal sampling apparatus 2 of preprocessing function and the voltage received and temperature signal can be carried out use processing, provides the trouble-shooter 3 of resultant fault diagnostic result;The signal output part of described voltage signal sampling device 1 connects trouble-shooter 3 by serial line interface;The outfan of described temperature signal sampling apparatus 2 connects trouble-shooter 3 by USB interface.
Voltage signal sampling device 1 in said system includes voltage value display window RS232 serial communication port probe signals and amplifies filtration module A/D converter and on and off switch;Treat that the Vital Voltage of diagnostic circuit element is received signal by probe and amplified filtration module, carry out A/D conversion again, carry out numerical value window to show simultaneously, under Communication driver control, transmit voltage tester value by RS232 serial communication port to trouble-shooter 3;
Temperature signal sampling apparatus 2 in said system includes Temperature numerical display window usb communication mouth thermal imaging system signal and amplifies filtration module A/D converter and on and off switch;Thermal imaging system is directed at each and treats diagnostic circuit element, obtain temperature signal, then be amplified filtration module A/D conversion process, carry out numerical value window simultaneously and show, under Communication driver control, transmit temperature test value by usb communication mouth to trouble-shooter 3;
Trouble-shooter 3 in said system includes Temperature numerical display screen RS232 serial communication port usb communication mouth and on and off switch;Its major control its with voltage signal sampling device 1 and the data communication of temperature signal sampling apparatus 2, it is achieved temperature and the Fuzzy Processing of voltage signal, carry out D-S use processing and fault element judge.
By the attainable method for diagnosing faults of this system, step is as follows:
1) use voltage signal sampling device 1 to gather and treat diagnostic circuit element Vital Voltage signal;Use temperature signal sampling apparatus 2 (thermal infrared imager TH7700) to gather and treat diagnostic circuit element manipulation temperature signal;
2) in voltage signal sampling device 1, voltage signal is amplified filter preprocessing;In temperature signal sampling apparatus 2, temperature signal is amplified filter preprocessing;
3) in trouble-shooter 3, to from the voltage signal of voltage signal sampling device 1 and the temperature signal of temperature signal sampling apparatus 2, carry out Fuzzy Processing respectively, obtain two groups and represent that each treats that diagnostic circuit element belongs to the membership function value of likelihood of failure, then recycling D-S evidence principle carries out data fusion, obtain a comprehensive fault membership function value, thus accurately judge faulty circuit element.
The key point voltage of voltage signal sampling device 1, temperature signal sampling apparatus 2 sample circuit element respectively and component temperature signal.
Trouble-shooter 3 analytical data and tracing trouble component, completed by built-in control driver, this control program includes sampling routine signal procedure and profiler three part, sampling routine is built in voltage signal sampling device 1 and temperature signal sampling apparatus 2, drives sampling apparatus to complete signal sampling task;Signal procedure is built in signal sampling device 12 and trouble-shooter 3 respectively, controls data communication between any two and preservation;Profiler is built in trouble-shooter 3, completes data Fuzzy Processing information fusion and the fault verification of component.
The probe of voltage signal sampling device 1 is received in each key point treating diagnostic circuit element, after signal stabilization, click on trouble-shooter 3(notebook computer) the " voltage sample " button of data acquisition interface, then trouble-shooter 3 starts signal procedure, by serial line interface, voltage signal is sent into trouble-shooter 3 and preserves;
The thermal imaging system of temperature signal sampling apparatus 2 is directed at each and treats diagnostic circuit element, after signal stabilization, click on the " temperature sampling " button of trouble-shooter 3 data acquisition interface, then trouble-shooter 3 starts signal procedure, and is preserved component temperature signal feeding trouble-shooter 3 by USB interface.
Enter data analysis and the Diagnostics Interfaces of trouble-shooter 3, click on the " voltage process " button of trouble-shooter 3 data analysis and Diagnostics Interfaces, then trouble-shooter 3 starts Fuzzy data processing program, the voltage data gathered is carried out Fuzzy Processing, and each obtaining that voltage signal represents treats that diagnostic circuit element belongs to the membership function value of likelihood of failure and preserves.
Enter data analysis and the Diagnostics Interfaces of trouble-shooter 3, click on the " Temperature Treatment " button of trouble-shooter 3 data analysis and Diagnostics Interfaces, then trouble-shooter 3 starts Fuzzy data processing program, the temperature data gathered is carried out Fuzzy Processing, and each obtaining that temperature signal represents treats that diagnostic circuit element belongs to the membership function value of likelihood of failure and preserves.
Enter data analysis and the Diagnostics Interfaces of trouble-shooter 3, click on the " information fusion " button of trouble-shooter 3 data analysis and Diagnostics Interfaces, then trouble-shooter 3 starts information fusion program, D-S evidence principle is utilized to carry out information fusion the two groups of fault membership function values obtained through Fuzzy Processing, obtain a comprehensive fault membership function value, accurately judge faulty circuit element further according to maximum membership grade principle.
Referring specifically to following example:
Embodiment 1
Fig. 4 is a small signals amplification circuit, wherein A1, A2, A3, for treating diagnostic circuit element, connect each equipment according to Fig. 1 structure, diagnostic process is carried out again by the fault diagnosis flow scheme of Fig. 6, first select to treat diagnostic circuit element A1, the probe of voltage signal sampling device 1 is received in each key point treating diagnostic circuit element, after signal stabilization, click on the trouble-shooter 3 data acquisition interface " voltage sample " button of Fig. 2, by serial line interface, voltage signal sent into trouble-shooter 3 and preserve;The thermal imaging system of temperature signal sampling apparatus 2 is directed at each and treats diagnostic circuit element A1, after signal stabilization, click on the trouble-shooter 3 data acquisition interface " temperature sampling " button of Fig. 2, by component temperature signal feeding trouble-shooter 3 and preserved by USB interface;Equally obtain A2 to be diagnosed, the voltage of A3 and temperature signal numerical value.
Enter data analysis and the Diagnostics Interfaces of the trouble-shooter 3 of Fig. 3, trouble-shooter 3 data analysis clicking on Fig. 3 processes " button with Diagnostics Interfaces " voltage, the voltage data gathered is carried out Fuzzy Processing, each obtaining that voltage signal represents treats diagnostic circuit element A1, A2, A3 belong to the membership function value of likelihood of failure and preserve;Click on trouble-shooter 3 data analysis and the Diagnostics Interfaces " Temperature Treatment " button of Fig. 3, the temperature data gathered is carried out Fuzzy Processing, each obtaining that temperature signal represents treats diagnostic circuit element A1, and A2, A3 belong to the membership function value of likelihood of failure and preserve;
Click on trouble-shooter 3 data analysis and the Diagnostics Interfaces " information fusion " button of Fig. 3, D-S evidence principle is utilized to carry out information fusion the two groups of fault membership function values obtained through Fuzzy Processing, obtain a comprehensive fault membership function value, accurately judge faulty circuit element further according to maximum membership grade principle.
Embodiment 2
Fig. 5 is certain model aircraft electro-optic radar " conversion of pressure-code " circuit diagram, wherein IC1, IC2, IC3, IC4, IC5 is for treating diagnostic circuit element, each equipment is connected according to Fig. 1 structure, diagnostic process is carried out again by the fault diagnosis flow scheme of Fig. 6, first select to treat diagnostic circuit element IC1, the probe of voltage signal sampling device 1 is received in each key point treating diagnostic circuit element, after signal stabilization, click on the trouble-shooter 3 data acquisition interface " voltage sample " button of Fig. 2, by serial line interface, voltage signal sent into trouble-shooter 3 and preserve;The thermal imaging system of temperature signal sampling apparatus 2 is directed at and treats diagnostic circuit element IC1, after signal stabilization, click on the trouble-shooter 3 data acquisition interface " temperature sampling " button of Fig. 2, by component temperature signal feeding trouble-shooter 3 and preserved by USB interface;Equally obtain IC2 to be diagnosed, the voltage of IC3, IC4, IC5 and temperature signal numerical value.
Enter data analysis and Diagnostics Interfaces Fig. 3 of trouble-shooter 3, trouble-shooter 3 data analysis clicking on Fig. 3 processes " button with Diagnostics Interfaces " voltage, the voltage data gathered is carried out Fuzzy Processing, each obtaining that voltage signal represents treats diagnostic circuit element IC1, IC2, IC3, IC4, IC5 belong to the membership function value of likelihood of failure and preserve;Clicking on trouble-shooter 3 data analysis and the Diagnostics Interfaces " Temperature Treatment " button of Fig. 3, the temperature data gathered is carried out Fuzzy Processing, each obtaining that temperature signal represents treats diagnostic circuit element IC1, IC2, IC3, IC4, IC5 belong to the membership function value of likelihood of failure and preserve;
Click on trouble-shooter 3 data analysis and the Diagnostics Interfaces " information fusion " button of Fig. 3, D-S evidence principle is utilized to carry out information fusion the two groups of fault membership function values obtained through Fuzzy Processing, obtain a comprehensive fault membership function value, accurately judge faulty circuit element further according to maximum membership grade principle.
It is above one of embodiments of the present invention, for those skilled in the art, does not spend performing creative labour, multiple change can be done on the basis of above-described embodiment, be capable of the purpose of the present invention equally.But, this change obviously should be in the protection domain of claims of the present invention.

Claims (12)

1. the fault diagnosis system using information fusion, it is characterized in that, this system includes possessing test component Vital Voltage and carry out the voltage signal sampling device (1) of preprocessing function, possess the temperature signal of test component and carry out the temperature signal sampling apparatus (2) of preprocessing function and the voltage received and temperature signal can be carried out use processing, provides the trouble-shooter (3) of resultant fault diagnostic result;The signal output part of described voltage signal sampling device (1) connects trouble-shooter (3) by serial line interface;The outfan of described temperature signal sampling apparatus (2) connects trouble-shooter (3) by USB interface.
A kind of fault diagnosis system using information fusion the most according to claim 1, it is characterized in that, the voltage signal sampling device (1) in described system includes voltage value display window RS232 serial communication port probe signals and amplifies filtration module A/D converter and on and off switch;Treat that the Vital Voltage of diagnostic circuit element is received signal by probe and amplified filtration module, carry out A/D conversion again, carry out numerical value window to show simultaneously, under Communication driver control, transmit voltage tester value by RS232 serial communication port to trouble-shooter (3).
A kind of fault diagnosis system using information fusion the most according to claim 1, it is characterized in that, the temperature signal sampling apparatus (2) in said system includes Temperature numerical display window usb communication mouth thermal imaging system signal and amplifies filtration module A/D converter and on and off switch;Thermal imaging system is directed at each and treats diagnostic circuit element, obtain temperature signal, then be amplified filtration module A/D conversion process, carry out numerical value window simultaneously and show, under Communication driver control, transmit temperature test value by usb communication mouth to trouble-shooter (3).
A kind of fault diagnosis system using information fusion the most according to claim 1, it is characterised in that the trouble-shooter (3) in said system includes Temperature numerical display screen RS232 serial communication port usb communication mouth and on and off switch;Its major control its with voltage signal sampling device (1) and the data communication of temperature signal sampling apparatus (2), it is achieved temperature and the Fuzzy Processing of voltage signal, carry out D-S use processing and fault element judgement.
5. the implementation method of the fault diagnosis system of an employing information fusion as claimed in claim 1, it is characterised in that the method includes:
1) use voltage signal sampling device (1) to gather and treat diagnostic circuit element Vital Voltage signal;Use temperature signal sampling apparatus (2) to gather and treat diagnostic circuit element manipulation temperature signal;
2) in voltage signal sampling device (1), voltage signal is amplified filter preprocessing;In temperature signal sampling apparatus (2), temperature signal is amplified filter preprocessing;
3) in trouble-shooter (3), to from the voltage signal of voltage signal sampling device 1 and the temperature signal of temperature signal sampling apparatus (2), carry out Fuzzy Processing respectively, obtain two groups and represent that each treats that diagnostic circuit element belongs to the membership function value of likelihood of failure, then recycling D-S evidence principle carries out data fusion, obtain a comprehensive fault membership function value, thus accurately judge faulty circuit element.
Network system realization the most according to claim 5, it is characterised in that in described method step, the key point voltage of voltage signal sampling device (1), temperature signal sampling apparatus (2) sample circuit element respectively and component temperature signal.
Network system realization the most according to claim 5, it is characterized in that, in described method step, trouble-shooter (3) analytical data and tracing trouble component, completed by built-in control driver, this control program includes sampling routine signal procedure and profiler three part, and sampling routine is built in voltage signal sampling device (1) and temperature signal sampling apparatus (2), drives sampling apparatus to complete signal sampling task;Signal procedure is built in signal sampling device (1) (2) and trouble-shooter (3) respectively, controls data communication between any two and preservation;Profiler is built in trouble-shooter (3), completes data Fuzzy Processing information fusion and the fault verification of component.
Network system realization the most according to claim 5, it is characterized in that, in described method step, the probe of voltage signal sampling device (1) is received in each key point treating diagnostic circuit element, after signal stabilization, click on the " voltage sample " button of trouble-shooter (3) data acquisition interface, then trouble-shooter (3) starts signal procedure, by serial line interface, voltage signal is sent into trouble-shooter (3) and preserves.
Network system realization the most according to claim 5, it is characterized in that, in described method step, the thermal imaging system of temperature signal sampling apparatus (2) is directed at each and treats diagnostic circuit element, after signal stabilization, click on the " temperature sampling " button of trouble-shooter (3) data acquisition interface, then trouble-shooter (3) starts signal procedure, and is preserved component temperature signal feeding trouble-shooter (3) by USB interface.
Network system realization the most according to claim 5, it is characterized in that, in described method step, enter data analysis and the Diagnostics Interfaces of trouble-shooter (3), click on the " voltage process " button of trouble-shooter (3) data analysis and Diagnostics Interfaces, then trouble-shooter (3) starts Fuzzy data processing program, and the voltage data gathered is carried out Fuzzy Processing, and each obtaining that voltage signal represents treats that diagnostic circuit element belongs to the membership function value of likelihood of failure and preserves.
11. network system realizations according to claim 5, it is characterized in that, in described method step, enter data analysis and the Diagnostics Interfaces of trouble-shooter (3), click on the " Temperature Treatment " button of trouble-shooter (3) data analysis and Diagnostics Interfaces, then trouble-shooter (3) starts Fuzzy data processing program, and the temperature data gathered is carried out Fuzzy Processing, and each obtaining that temperature signal represents treats that diagnostic circuit element belongs to the membership function value of likelihood of failure and preserves.
12. network system realizations according to claim 5, it is characterized in that, in described method step, enter data analysis and the Diagnostics Interfaces of trouble-shooter (3), click on the " information fusion " button of trouble-shooter (3) data analysis and Diagnostics Interfaces, then trouble-shooter (3) starts information fusion program, D-S evidence principle is utilized to carry out information fusion the two groups of fault membership function values obtained through Fuzzy Processing, obtain a comprehensive fault membership function value, accurately judge faulty circuit element further according to maximum membership grade principle.
CN201510213470.0A 2015-04-30 2015-04-30 Electronic equipment intelligent failure diagnosis method and device Pending CN106199373A (en)

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CN109696902A (en) * 2018-12-06 2019-04-30 奇瑞汽车股份有限公司 A kind of signal recording apparatus, fault point detection circuit and method
CN111521986A (en) * 2020-06-03 2020-08-11 中国人民解放军32181部队 Detection system of radar communication extension data fusion module
CN115440292A (en) * 2022-11-02 2022-12-06 深圳市芯片测试技术有限公司 Method, device and equipment for testing memory chip and storage medium

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CN101201370A (en) * 2006-12-13 2008-06-18 上海海事大学 Fault diagnosis system adopting circuit information amalgamation and implementing method thereof
CN202693764U (en) * 2012-07-19 2013-01-23 南京因泰莱配电自动化设备有限公司 Circuit breaker failure diagnosis device based on circuit breaker dynamic characteristic tester
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Publication number Priority date Publication date Assignee Title
WO2018058823A1 (en) * 2016-09-28 2018-04-05 深圳Tcl数字技术有限公司 Fault detection apparatus and method
CN109696902A (en) * 2018-12-06 2019-04-30 奇瑞汽车股份有限公司 A kind of signal recording apparatus, fault point detection circuit and method
CN109696902B (en) * 2018-12-06 2022-06-10 奇瑞汽车股份有限公司 Signal recording device, fault point detection circuit and method
CN111521986A (en) * 2020-06-03 2020-08-11 中国人民解放军32181部队 Detection system of radar communication extension data fusion module
CN111521986B (en) * 2020-06-03 2022-07-12 中国人民解放军32181部队 Detection system of radar communication extension data fusion module
CN115440292A (en) * 2022-11-02 2022-12-06 深圳市芯片测试技术有限公司 Method, device and equipment for testing memory chip and storage medium
CN115440292B (en) * 2022-11-02 2023-01-06 深圳市芯片测试技术有限公司 Method, device and equipment for testing memory chip and storage medium

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