Gear case fault diagnosis method based on six-order monostable system

Abstract

The invention discloses a gear case fault diagnosis method based on a six-order monostable system, and relates to the technical field of gear case fault diagnosis methods. The method comprises the following steps that a resonant frequency band is selected via bandpass filtering, demodulation is carried out via Hilbert, and the six-order monostable system is used to obtain output of a fault feature. The method is easy to realize, high in computing efficiency and excellent in the output characteristic, and has much advantages in extraction of weak fault feature signals.

Description

technical field [0001] The invention relates to the technical field of gearbox fault diagnosis methods, in particular to a gearbox fault diagnosis method based on a six-order monostable system. Background technique [0002] As a variable speed transmission component, the gearbox is widely used in various mechanical products, and its operating status directly affects the safety of the entire machine. During the operation of the machine, the strong noise from the outside world and the machine itself makes it difficult to detect the early weak fault information of the gearbox in time. Stochastic resonance theory is a nonlinear signal processing method developed in the past 30 years. It amplifies weak characteristic signals and weakens noise characteristics, making it one of the effective methods for weak signal detection. [0003] The commonly used stochastic resonance model is the bistable stochastic resonance model (literature [1] Lei Yaguo, Han Dong, Lin Jing, etc. A new me...

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Problems solved by technology

[0003] The commonly used stochastic resonance model is the bistable stochastic resonance model (literature [1] Lei Yaguo, Han Dong, Lin Jing, etc. A new method of adaptive stochastic resonance and its application in fault diagnosis [J]. Chinese Journal of Mechanical Engineering, 2012,48(7):62-67.), although the bistable system can be applied to engineering practice, there is a prominent problem in the specific implementation process, that is, it is difficult to determine the adjustment direction of the two system parameters to achieve fast resonance State (Literature [2] Leng Yonggang, Wang Taiyong, Guo Yan, etc. Research on the parameter characteristics of bistable stochastic resonance [J]. Acta Physica Sinica, 2007,56(1):30-35.)

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