Performance degradation evaluation method based on FCM-HMM rolling bearing

A rolling bearing and performance technology, which is applied in the field of mechanical product quality reliability assessment and fault diagnosis, can solve the problems of poor consistency between the degradation curve and fault, consume a lot of time, and cannot accurately determine the failure state of the bearing, so as to prevent major emergencies Fault detection, data dimensionality reduction, and condition-based maintenance
CN106885697AActive Publication Date: 2017-06-23EAST CHINA JIAOTONG UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
EAST CHINA JIAOTONG UNIVERSITY
Publication Date
2017-06-23

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Abstract

The invention discloses a performance degradation evaluation method based on an FCM-HMM rolling bearing. The method comprises the steps that an autoregressive model (AR) is used to extract the characteristic of the vibration signal of an early fault-free rolling bearing and the failure characteristic of a failure rolling bearing of the same type and position (bearing of the same kind in short for the sake of description); a fuzzy C-mean value (FCM) performance degradation evaluation model is established through an early fault-free sample and a failure sample; an HMM model is established through the fault-free sample; in view of the advantages of FCM and HMM, degradation indexes acquired through FCM and HMM is input into the FCM performance degradation model as input characteristics, so as to acquire normal and failure clustering centers; and an early fault threshold is set at the same time. Experimental analysis shows that the evaluation indexes acquired through the performance degradation method provided by the invention can monitor the performance degradation trend of the rolling bearing in real time, and early faults can be detected in time.
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Description

technical field

[0001] The invention relates to an FCM-HMM-based evaluation method for performance degradation of rolling bearings, belonging to the technical field of mechanical product quality reliability evaluation and fault diagnosis. Background technique

[0002] Most of the failures of rotating machinery are caused by rolling bearing failures. The performance of rolling bearings will be degraded to varying degrees in a long-term wear environment. The performance degradation assessment of bearings proposed in recent years is an extension of fault diagnosis. The essence of performance degradation assessment is to evaluate the corresponding performance of mechanical equipment by analyzing the vibration data of the equipment. The biggest difference between it and the traditional bearing fault diagnosis mode is that the performance degradation assessment is a proactive maintenance method, while the traditional bearing fault diagnosis mode Diagnosis focuses on discovering fa...

Claims

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