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Rotary mechanical equipment fault diagnosing method based on diagnosing evidence smooth updating

A technology of rotating mechanical equipment and diagnostic evidence, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of lack of accuracy and reliability in diagnostic decision-making, and failure to consider the changing trend and relationship of diagnostic evidence, etc.

Active Publication Date: 2014-03-05
HANGZHOU DIANZI UNIV
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Problems solved by technology

In the existing various fusion diagnosis methods based on evidence theory, such as the diagnostic evidence acquisition and fusion method proposed in the literature "Random Set Metric Information Fusion Diagnosis Method Based on Fuzzy Fault Feature Information, Journal of Electronics and Information Technology", because only the current Diagnostic evidence determines the fault without considering the trend and relationship between the current diagnostic evidence and historical and future diagnostic evidence, which will inevitably make the final diagnostic decision lack sufficient accuracy and reliability

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  • Rotary mechanical equipment fault diagnosing method based on diagnosing evidence smooth updating
  • Rotary mechanical equipment fault diagnosing method based on diagnosing evidence smooth updating
  • Rotary mechanical equipment fault diagnosing method based on diagnosing evidence smooth updating

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Embodiment Construction

[0060] The fault diagnosis method for rotating mechanical equipment based on the smooth update of diagnostic evidence proposed by the present invention, its flow chart is as follows figure 1 shown, including the following steps:

[0061] (1) Set the fault set of rotating mechanical equipment as Θ={F 0 , F 1 ,...,F j ,...,F N}, F j Represents the jth type of fault (j=0,1,...,N) of rotating mechanical equipment, and there are N+1 types of faults;

[0062](2) Through the diagnostic evidence generation method, at the kth moment (k=1,2,3,…), the diagnostic evidence of rotating mechanical equipment can be obtained as E k =(m k (F 0 ), m k (F 1 ),…, m k (F j ),…, m k (F N ), m k (Θ)), where m k (F j ) means at time k, the reliability assignment for the occurrence of the jth fault, m k (Θ) represents the credit assignment to the fault set, then E k A reliability assignment vector is formed for these reliability assignments, and there is 1-(m k (F 0 )+m k (F 1 )+…...

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Abstract

The invention relates to a rotary mechanical equipment fault diagnosing method based on diagnosing evidence smooth updating and belongs to the technical field of rotary mechanical equipment fault monitoring and diagnosing. The diagnosing evidence during equipment operation is obtained through an evidence acquiring method, a conditioning linear weighting evidence fusion rule is recursively used to update the diagnosing evidence updated at the previous moment with the current-moment diagnosing evidence, and the updated current-moment diagnosing evidence is obtained. Under a certain decision making rule, the updated diagnosing evidence is used for fault decision making. On the basis of the reliability of the current-moment, historical-moment and future-moment diagnosing evidences, the smooth weighting in linear fusion evidence updating is determined, the updated current-moment diagnosing evidence is enabled to have useful diagnosing information of historical and future moments, and the decision made on the basis of the updated diagnosing evidence is more accurate and reliable than the decision made on the basis of diagnosing evidence not updated.

Description

technical field [0001] The invention relates to a fault diagnosis method for rotating mechanical equipment based on smooth update of diagnostic evidence, and belongs to the technical field of fault detection and diagnosis of rotating mechanical equipment. Background technique [0002] Online fault diagnosis technology is a powerful means to ensure the safe production and efficient operation of rotating machinery equipment, but under the current circumstances, this technology has just started, and there are still many challenges in the implementation process. Due to the complexity and diversity of fault modes and their characteristics, the traditional information processing method based on a single sensor is no longer competent for fault detection and diagnosis. In order to achieve real-time diagnosis and improve the fault diagnosis rate, multi-sensors are used to increase the amount of diagnostic information. It is imperative. The evidence theory and method in information f...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 徐晓滨张镇刘征
Owner HANGZHOU DIANZI UNIV
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