Fuzzy FMEA (Failure Mode and Effect Analysis) based system automatic fault diagnosis method

An automatic fault diagnosis and analysis system technology, applied in the direction of fuzzy logic-based systems, etc., can solve the problem of the frequency of fault occurrence, the degree of harm and the difficulty of detection, the degree of occurrence, severity and detection of fault modes are difficult to determine, the fault It is difficult to achieve breakthroughs in diagnostic research, so as to save manpower and ensure accuracy

Active Publication Date: 2016-12-14
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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Problems solved by technology

[0004] The above-mentioned first fault diagnosis method cannot realize the automatic diagnosis of the system through data rules or knowledge experience database; the other FMEA analysis method is difficult to quantify due to the frequency of faults, the degree of harm and the difficulty of detection, and the degree of occurrence and severity of fault modes and the degree of detection is difficult to determine, making it difficult to achieve a breakthrough in the research of system fault diagnosis

Method used

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  • Fuzzy FMEA (Failure Mode and Effect Analysis) based system automatic fault diagnosis method
  • Fuzzy FMEA (Failure Mode and Effect Analysis) based system automatic fault diagnosis method
  • Fuzzy FMEA (Failure Mode and Effect Analysis) based system automatic fault diagnosis method

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Embodiment 1

[0035] Embodiments of the present invention provide a system automatic fault diagnosis method based on fuzzy FMEA analysis, such as figure 1 shown, including:

[0036] 101. Obtain a diagnostic data source; the diagnostic data source includes one or more types of data; each type of data includes one or more items of information.

[0037] Among them, the diagnostic data source in this embodiment provides a judgment basis for fault diagnosis, and the diagnostic data source includes four types of data, including power consumption data, working condition data, channel monitoring data, and server monitoring data. Each type of data contains five items of information: numerical value, Boolean value, fixed constant, association relationship and phenomenon.

[0038] 102. Analyze and process the diagnostic data source, and input the processed diagnostic data source into a fuzzy FMEA analysis system.

[0039] Among them, the potential failure mode and effect analysis (Failure Mode and E...

Embodiment 2

[0045] Embodiments of the present invention provide a system automatic fault diagnosis method based on fuzzy FMEA analysis, such as figure 2 shown, including:

[0046] 201. Acquire a diagnostic data source; the diagnostic data source includes one or more types of data; each type of data includes one or more pieces of information.

[0047] Among them, the diagnostic data source includes four types of data: electricity consumption data, working condition data, channel monitoring data and server monitoring data, and each type of data includes five items of information: numerical value, Boolean value, fixed constant, correlation and phenomenon.

[0048] 202. Acquire the diagnostic data source file information.

[0049] Wherein, the archive information of the diagnostic data source includes archive data and log data of various diagnostic data sources.

[0050]203. Perform cluster analysis and data fusion processing on the diagnostic data source in combination with the archive in...

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Abstract

The invention discloses a fuzzy FMEA (Failure Mode and Effect Analysis) based system automatic fault diagnosis method, and relates to the technical field of electronic communication fault detection. Effective quantitative processing for the fault mode occurrence degree, the fault mode severity and the fault mode detection degree is realized through a fuzzy FMEA analysis system. System fault diagnosis problems are overcome, and the accuracy of fault diagnosis is ensured. Meanwhile, automatic diagnosis for faults is realized, so that manpower and working hours are saved. The technical scheme comprises the key points that a diagnosis data source is acquired; analysis and processing are carried out on the diagnosis data source, and the processed diagnosis data source is inputted into the fuzzy FMEA analysis system; the fuzzy FMEA analysis system carries out analysis on the processed diagnosis data source and acquires a fault diagnosis result. The method disclosed by the invention is mainly applied to system automatic fault diagnosis.

Description

technical field [0001] The invention relates to the technical field of electronic communication fault detection, in particular to a system automatic fault diagnosis method based on fuzzy FMEA analysis. Background technique [0002] With the increasing integration, complexity and automation of monitoring equipment and software systems, fault diagnosis methods for fault assessment and diagnosis of equipment and systems have become more and more important, especially under complex conditions. The frequency of faults is high, and it is easy to cause misoperation. Fault diagnosis methods to realize effective fault detection and management, eliminate the impact and harm of faults, and make equipment and systems run stably and safely are problems that need to be solved urgently. [0003] Fault diagnosis in the existing technology is to calculate and evaluate through the results of data statistics, that is, to obtain fault data, and to obtain fault evaluation results through manual...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N7/04
CPCG06N7/043
Inventor 陈俊潘俊涛李刚龙东李伟坚韦杏秋杨舟唐志涛唐利涛李金瑾
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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