Null space bearing composite fault diagnosis method based on fault features

A technology of fault characteristics and composite faults, applied in the direction of mechanical bearing testing, etc., can solve problems such as rare application of mechanical fault diagnosis
CN104075889AActive Publication Date: 2014-10-01BEIJING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF TECH
Publication Date
2014-10-01

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Abstract

Provided is a null space bearing composite fault diagnosis method based on fault features. According to the method, a bearing fault vibration model established according to a bearing fault mechanism is adopted, a differential operator based on the bearing fault features is constructed by means of Matlab programming according to the bearing fault vibration model, self-adaptive decomposition of the null space differential operator based on the fault features is carried out on bearing fault non-stationary signals, and local narrow-band signals containing fault features are extracted and demodulated to obtain the fault features. The null space differential operator based on bearing faults is constructed according to the bearing fault vibration model, different fault features correspond to different parameters in an algorithm, the local narrow-band signals are further demodulated, different bearing fault features can be extracted accordingly, and composite fault diagnosis of the bearing can be achieved.
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Description

technical field

[0001] The invention relates to a bearing composite fault diagnosis method, which belongs to the technical field of bearing fault diagnosis, in particular to a zero-space bearing composite fault diagnosis method based on fault characteristics. Background technique

[0002] Bearing is an important component of rotating machinery, and it is of great significance to detect its running state and fault diagnosis. The fault vibration signal of the bearing is a typical non-stationary signal and contains a lot of noise and other interference. Compared with the stationary signal, the analysis of the non-stationary signal is a very complex nonlinear problem, especially in the case of compound faults. Due to The mutual influence and interference between faults make the fault characteristics complex and greatly increase the difficulty of accurately detecting faults. However, the signals encountered in engineering practice are often such signals, so the research of such s...

Claims

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