Earticle

초록

영어

Circuit Research of stochastic resonance (SR) method is a hotspot in the domain of fault detection. Based on the introduction of the original circuit model of double steady-state stochastic resonance, an improved algorithm, which is combining square demodulation and stochastic resonance algorithm, is proposed for rolling bearing fault features extraction in the paper. Before the mixed signals to be analyzed are dealt by SR module, low-frequency signals that contain the rolling bearing fault signal are amplified selectively by the square demodulation module. Then, an improved circuit based on the improved algorithm is designed out with the popular circuit designing software of NI Multisim 10.0. After that, the public general test data from the University of Cincinnati data center bearing (IMS-www.imscenter.net) are used to evaluate the performance of the improved circuit. The experimental results show that the improved circuit not only can be realized easily but also has a higher accuracy in fault features extraction than the original one. What’s more, the improved circuit can effectively recognize the typical bearing faults during the whole fault evolution process from weak fault to serious one. Finally, in order to deeply analyze the factors that influencing the fault detection performance of the improved circuit, four parameters, which are the amplitudes and the frequencies of the modulation signal and carrier signal, are selected out and their setting rules are gained based on the corresponding experiments.

목차

Abstract
 1. Introduction
 2. Rolling Bearing Fault Vibration Model
 3. Original Circuit for Fault Signal Detection based on SR Algorithm
  3.1. Principle of SR algorithm
  3.2. Original circuit based on double steady-state nonlinear SR
 4. The Improved Circuit for Fault Signal Detection
  4.1. Principle of the improved algorithm
  4.2. Fault signal detection circuit based on the improved algorithm
  4.3. Experiment results comparison between the improved circuit and the original one
 5. The Impact Factor Analysis for Fault Detection Performance of the Improved Circuit
  5.1. Signal components influencing the fault detection performance of the improved circuit
  5.2. Influence of modulating signal parameters to the fault detection performance of the improved circuit
  5.3. Influence of carrier signal parameters to the fault detection performance of the improved circuit
 6. Summary
 Acknowledgements
 References

키워드

저자

• Zengqiang Ma [ Electrical and Electronics Engineering, Shijiazhuang Tiedao University Shijiazhuang, 050043, China ]
• Jianhua Liang [ Electrical and Electronics Engineering, Shijiazhuang Tiedao University Shijiazhuang, 050043, China ]
• Yingna Yang [ Electrical and Electronics Engineering, Shijiazhuang Tiedao University Shijiazhuang, 050043, China ]
• Yachaona Li [ Electrical and Electronics Engineering, Shijiazhuang Tiedao University Shijiazhuang, 050043, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605