RESEARCH ON FREQUENCY-SHIFTED AND RE-SCALING STOCHASTIC RESONANCE AND ITS APPLICATION TO FAULT DIAGNOSIS

摘要：

A novel method of large parameter stochastic resonance (LPSR) named frequency-shifted and re-scaling stochastic resonance (FRSR) is proposed in this paper. By shifting and re-scaling the frequency, FRSR provides a way to alleviate the contradiction between sampling frequency and the number of sample points. The proposed method is verified with a simulative signal and then successfully applied in a milling machine tool fault diagnosis. The results show that this method is useful in large frequency periodic signal detection under a heavy noise background and it is a meaningful try for LPSR coming into practical use of mechanical fault diagnosis.

关键词： Large parameter stochastic resonance Frequency-shifted Re-scaling Fault diagnosis

作者: Zhengjia He Jiyong Tan Xuefeng Chen Junying Wang Yanyang Zi

作者单位: State Key Laboratory for Manufacturing Systems Engineering, Xian Jiaotong University, Xian, 710049, China

会议类型: 国际会议

会议名称: the 3rd World Congress on Engineering Asset Management andIntelligent Maintenance Systems(第三届世界工程资产管理及智能维修学术大会)

会议地点: 北京

会议语种:英文

页码: 653-660

在线出版日期: 2008-10-27（万方平台首次上网日期，不代表论文的发表时间）