文章基本信息

标题：An Improved Circuit for Rolling Bearing Fault Detection Based On Square Demodulation and Stochastic Resonance
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作者：Zengqiang Ma ; Jianhua Liang ; Yingna Yang 等
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2014
卷号：9
期号：3
页码：145-158
出版社：SERSC
摘要：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
关键词：improved circuit design; rolling bearing fault detection; square demodulation; ;stochastic resonance; parameters setting rules