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Self-correction method for intelligent diagnosis fault cause probability of power generator set

A generator set and fault cause technology, which is applied in the field of self-correction of the generator set's intelligent diagnosis of fault cause probability, and achieves the effect of good expansion.

Pending Publication Date: 2022-01-14
HARBIN ELECTRIC MASCH CO LTD
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Problems solved by technology

This rule-based diagnosis method with constant failure cause probability will lead to the same probability of failure cause when different units fail, and it does not change with the operation time and state of the random group

Method used

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  • Self-correction method for intelligent diagnosis fault cause probability of power generator set
  • Self-correction method for intelligent diagnosis fault cause probability of power generator set
  • Self-correction method for intelligent diagnosis fault cause probability of power generator set

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Embodiment Construction

[0026] The application will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present application.

[0027] A self-correction method for intelligently diagnosing the failure cause probability of a generator set, comprising the following steps:

[0028] Step 1: According to the characteristics of the intelligent operation and maintenance diagnosis of the generator set, determine that there are n kinds of fault causes of the generator set, which are respectively a 1 、a 2 ,...,a n , the initial probabilities corresponding to each generator failure cause are P 1 ,P 2 ,...,P n , the initial probability P of the i-th fault cause of the generator set i Satisfy:

[0029]

[0030] Parameter i and generator failure cause a i The initial probability P i Satisfy 1≤i≤n and 0i ≤1. The purpose of es...

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Abstract

The invention discloses a self-correction method for the intelligent diagnosis fault cause probability of a power generator set, and belongs to the field of intelligent operation and maintenance of power generator sets. The method is characterized in that the change condition of measuring point data in a power generator set fault diagnosis system, a dynamic self-correction fault reason probability algorithm is constructed through the fault reason initial probability and the variable credibility of fault reasoning, and the power generator set fault reason probability is corrected and updated in real time. According to the invention, the method has the advantages of being clear in principle, rigorous in thought, efficient in calculation and real-time and online, the probability of fault reasons can be continuously self-corrected according to the operation data of the power generator set, the accuracy of judging the fault reasons of the power generator set by the intelligent diagnosis system is improved, the diagnosis result conforms to the operation state of the power generator set, and the intelligent level of the power generator set fault diagnosis system is improved.

Description

technical field [0001] The invention relates to the field of intelligent operation and maintenance of generating sets, in particular to a self-correction method for intelligently diagnosing the failure cause probability of generating sets. Background technique [0002] On-line fault diagnosis of generator set is an important means to ensure the safety of unit operation. According to the online real-time measurement point information of the generator set, combined with the established expert diagnosis knowledge, the online fault diagnosis system can analyze and judge the cause of the unit failure, judge the cause of the failure in time, and then formulate corresponding operation and maintenance strategies for the unit to ensure that the unit Can run safely and stably. [0003] The fault diagnosis of generator sets mostly adopts the rule-based fault diagnosis method. This diagnosis method considers that the occurrence probability of each fault cause is fixed and does not var...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34
CPCG01R31/343
Inventor 孙永鑫李屹范寿孝王润鹏孙铎
Owner HARBIN ELECTRIC MASCH CO LTD
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