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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

Active Publication Date: 2014-10-01
BEIJING UNIV OF TECH
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Problems solved by technology

At present, the zero-space tracking algorithm is mainly used in the field of image processing, and its application in mechanical fault diagnosis is relatively rare.

Method used

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  • Null space bearing composite fault diagnosis method based on fault features
  • Null space bearing composite fault diagnosis method based on fault features
  • Null space bearing composite fault diagnosis method based on fault features

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Embodiment Construction

[0032] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0033] Such as Figure 1-5 As shown, a zero-space bearing compound fault diagnosis method based on fault characteristics, (1) establish a bearing fault vibration model according to the fault mechanism of the bearing. According to the structural characteristics and dynamics of the signal, it can be known that the vibration form of the rolling bearing fault can be approximately regarded as a mass-spring-damping system, and the dynamic model of the mass-spring-damping system is:

[0034] my″+cy’+ky=0

[0035] where m is the mass of the mass element in the mass-spring-damper system, c is the damping coefficient of the damper in the mass-spring-damper system, k is the elastic coefficient of the spring element in the mass-spring-damper system, and y is the mass in the system The displacement of the component is a function of time t, y′ is the firs...

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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.

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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04
Inventor 崔玲丽吴春光马春青邬娜翟浩
Owner BEIJING UNIV OF TECH
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