Chatter Identification Using HHT for Boring Process

摘要：

　　This paper presents a signal processing technique of chatter detection for boring bar based on the Hilbert–Huang Transform(HHT).HHT is suitable for the analysis of non-stationary and non-linear signals.The flow of HHT for processing chatter signal and the principle are introduced.Two kinds of signals from strain gauge and FBG sensor are compared by HHT.The signals are decomposed into several intrinsic mode functions(IMFs)using empirical mode decomposition(EMD).The Hilbert transform is then applied on each IMF to obtain the instantaneous frequencies with time and their amplitudes.Finally,the marginal and the Hilbert spectrums of strain signals were produced using selected IMFs.The results show that the HHT-based strain signal analysis can also be considered as a simple and reliable method for chatter vibration detection.

关键词： Hilbert-Huang transform chatter detection Fiber Bragg Grating (FBG) boring process

作者: PENG Wei HU Zhongju YUAN Li ZHU Pingyu

作者单位: Provincial Key Lab of Hunan Province Health Maintenance for Mechanical Equipment,Hunan University of School of Mechanical and Electric Engineering,Guangzhou University,Guangzhou 510006,China

会议类型: 国际会议

会议名称: 2013 International Conference on Optical Instrument and Technology (OIT’2013)(2013年光学仪器与技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2013-11-17（万方平台首次上网日期，不代表论文的发表时间）