Fault diagnosis method of random fuzzy fault characteristic fusion rotating mechanical device

A technology of rotating machinery equipment and fault characteristics, which is applied in the field of fault diagnosis of rotating machinery equipment, and can solve problems such as errors and inaccuracies

Inactive Publication Date: 2012-09-12
杭州易山澜科技有限公司
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Therefore, when using these uncertain fault feature information to diagnose

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  • Fault diagnosis method of random fuzzy fault characteristic fusion rotating mechanical device
  • Fault diagnosis method of random fuzzy fault characteristic fusion rotating mechanical device
  • Fault diagnosis method of random fuzzy fault characteristic fusion rotating mechanical device

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[0060] A method for fault diagnosis of rotating mechanical equipment based on fusion of random fuzzy fault features proposed by the present invention, the flow chart of which is as follows figure 1 shown, including the following steps:

[0061] (1) Set the fault set of rotating mechanical equipment Θ={F 1 ,...,F j ,...,F N}, F j Represents the jth fault in the fault set Θ, j=1, 2, ..., N, N is the number of faults contained in the equipment;

[0062] (2) Let x be able to reflect each fault F in the fault set Θ j The fault characteristic parameters of x, establish the fault template mode A of the fault characteristic parameter x xj , A xj To describe the fault F j A random fuzzy variable of A xj The steps to obtain are as follows:

[0063] (2-1) When the fault F in the fault set Θ j When it occurs, use the sensor to measure the fault characteristic parameter x, and obtain δ measured values ​​of x continuously;

[0064] (2-2) Utilize these δ measured values ​​to obtai...

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Abstract

The invention relates to a fault diagnosis method of a random fuzzy fault characteristic fusion rotating mechanical device. The fault diagnosis method belongs to the technical field of fault monitoring and diagnosis of the rotating mechanical device. The fault diagnosis method can process fault characteristic parameters with randomness and fuzziness, performs statistic analysis on typical data of the fault characteristic parameters under each fault to construct random fuzzy variables, uses the variables to model each fault sample mode in fault archives, uses the random fuzzy variables to model a fault pending inspection mode extracted from on-line monitoring, and enables the pending inspection to be matched with each fault sample mode to obtain degree of the pending inspection mode to support each fault, namely diagnosis evidences. The diagnosis evidences provided by a plurality of fault characteristic parameters are fused, under a decision rule, fusion results are used for performing fault decision, and the decision based on the multi-evidence fusion results is more accurate than the decision made out according to single diagnosis evidence.

Description

technical field [0001] The invention relates to a fault diagnosis method for rotating mechanical equipment based on random fuzzy fault feature fusion, and belongs to the technical field of fault monitoring and diagnosis of rotating mechanical equipment. Background technique [0002] Online fault diagnosis technology is a powerful guarantee for the safe production and efficient operation of rotating machinery equipment, but the implementation of this type of technology still faces many challenges: for modern large-scale and complex equipment, such as large rotating machinery equipment, it is mostly based on the monitoring data collected by multiple sensors The fault feature information extracted from the data is used for fault diagnosis. However, due to the influence of the monitoring environment and the systematic error of the measurement system itself, such as the accuracy offset of the sensor or the quantization error of the A / D converter, the measurement data always has u...

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Application Information

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IPC IPC(8): G05B23/02G05B13/04
Inventor 徐晓滨周哲文成林
Owner 杭州易山澜科技有限公司
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