A Fault Diagnosis System Based on Bistable Stochastic Resonance and Dynamic Time Warping

Zhen Wu Liu; Zhi Wu Shang; Ya Feng Li; Wang Tai Yong

doi:10.4028/www.scientific.net/KEM.693.1294

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Quantitative Analysis and Evaluation of Valve Core Spherical Surface Grinding Texture
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 693A Fault Diagnosis System Based on Bistable...

A Fault Diagnosis System Based on Bistable Stochastic Resonance and Dynamic Time Warping

Abstract:

Stator current signal of driving motor can be easily measured. Using it in the gearbox fault diagnosis system is inexpensive and suitable for remote monitoring. According to the application of the Motor Current Signal Analysis in machinery fault detection, we present a new gearbox fault diagnosis system. In modern signal processing technology, Stochastic Resonance theory is widely used to improve SNR (signal to noise ratio). Dynamic time warping algorithm is a simple and efficient way of the pattern identified. Combine the Stochastic Resonance theory and dynamic time warping algorithm as the basic theory of fault diagnosis. To realize the development of fault diagnosis software, we use the mixed-programming of MATLAB algorithms library and VC++.

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Periodical:

Key Engineering Materials (Volume 693)

Pages:

1294-1299

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.693.1294

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Online since:

May 2016

Authors:

Zhen Wu Liu*, Zhi Wu Shang, Ya Feng Li, Wang Tai Yong

Keywords:

Dynamic Time Warping, Fault Diagnosis, Stochastic Resonance

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