A new weak fault diagnosis method based on multi-scale wavelet noise tuning cascaded multi-stable stochastic resonance

Bearing is among the most widely used components in rotating machinery. Its failure can cause serious economic losses or even disasters. However, the fault-induced impulses are weak especially for the early failure. As to the bearing fault diagnosis, a novel bearing diagnosis method based on scale-varying fractional-order stochastic resonance (SFrSR) is proposed. Signal-to-noise ratio of the SFrSR output is regarded as the criterion for evaluating the stochastic resonance (SR) output. In the proposed method, by selecting the proper parameters (integration step [Formula: see text], amplitude gain [Formula: see text] and fractional-order [Formula: see text]) of SFrSR, the weak fault-induced impulses, the noise and the potential can be matched with each other. An optimal fractional-order dynamic system can be generated. To verify the proposed SFrSR, numerical tests and application verification are conducted in comparison with the traditional scale-varying first-order SR (SFiSR). The results prove that the parameters [Formula: see text] and [Formula: see text] affect the SFrSR effect seriously and the proposed SFrSR can enhance the weak signal while suppressing the noise. The SFrSR is more effective for bearing fault diagnosis than SFiSR.

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A Fault Diagnosis Method of Rotating Machinery Based on Multi-scale Fuzzy Entropy

2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan) ◽

10.1109/phm-jinan48558.2020.00090 ◽

2020 ◽

Author(s):

Yingjian Wu ◽

Jinglin Wang ◽

Liang Cao

Keyword(s):

Fault Diagnosis ◽

Rotating Machinery ◽

Fuzzy Entropy ◽

Multi Scale ◽

Diagnosis Method

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A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107413 ◽

2021 ◽

pp. 107413

Author(s):

Dawei Gao ◽

Yongsheng Zhu ◽

Zhijun Ren ◽

Ke Yan ◽

Wei Kang

Keyword(s):

Fault Diagnosis ◽

Rolling Bearings ◽

Diagnosis Method ◽

Weak Fault

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Fault diagnosis method and application based on unsaturated piecewise linear stochastic resonance

Review of Scientific Instruments ◽

10.1063/1.5083990 ◽

2019 ◽

Vol 90 (6) ◽

pp. 065112 ◽

Cited By ~ 1

Author(s):

Zhixing Li ◽

Xiandong Liu ◽

Songjiu Han ◽

Jianguo Wang ◽

Xueping Ren

Keyword(s):

Fault Diagnosis ◽

Stochastic Resonance ◽

Piecewise Linear ◽

Diagnosis Method

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Actuator Weak Fault Diagnosis in Autonomous Underwater Vehicle Based on Tri-Stable Stochastic Resonance

Applied Sciences ◽

10.3390/app10062048 ◽

2020 ◽

Vol 10 (6) ◽

pp. 2048 ◽

Cited By ~ 1

Author(s):

Yang Jiang ◽

Bo He ◽

Jia Guo ◽

Pengfei Lv ◽

Xiaokai Mu ◽

...

Keyword(s):

Fault Diagnosis ◽

Stochastic Resonance ◽

Autonomous Underwater Vehicle ◽

Underwater Vehicle ◽

Ant Colony ◽

Resonance System ◽

Resonance Model ◽

Weak Fault

The autonomous underwater vehicle (AUV) is mainly used in the development and exploration of the ocean. As an important module of the AUV, the actuator plays an important role in the normal execution of the AUV. Therefore, the fault diagnosis of the actuator is particularly important. At present, the research on the strong faults, such as the winding of the actuator, has achieved good results, but the research on the weak fault diagnosis is relatively rare. In this paper, the tri-stable stochastic resonance model is analyzed, and the ant colony tri-stable stochastic resonance model is used to diagnose the weak fault. The system accurately diagnoses the fault of the actuator collision and verifies the adaptive tri-stable stochastic resonance system. This model has better diagnostic results than the bi-stable stochastic resonance system.

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