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《China Mechanical Engineering》 2005-07
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Diamond Blunt Feature Extraction Based on Bispectrum Analysis of Acoustic Emission Signals

Xu Hong’an 1 Wang Min 1 Xu Xiaoli 2 Fei Renyuan 1 1.Beijing Polytechnic University, Beijing,100022 2.Beijing Institute of Machinery, Beijing,100085  
To effectively identify the diamond sharpness ratio during wheel dressing process, considering the non-stationary specialities of acoustic emission signals, the diamond blunt feature extraction method based on bispectrum analysis was studied. The on-line wheel dressing monitoring experiments were made to investigate the bispectrum feature of acoustic emission signals when the diamond sharpness ratio was sharp, middle blunt and blunt, and a diamond blunt feature extraction method based on main diagonal slice of normalized bispectrum magnitude of acoustic emission signals was proposed. The conclusion is reached that the diamond sharpness ratio can be identified effectively by the bispectrum analysis of acoustic emission signals during wheel dressing process.
【Fund】: 北京市先进制造技术重点实验室资助项目 (T01000101);; 北京市自然科学基金资助重点项目(4031001—1);; 北京市机电系统测控重点实验室开放基金资助项目(KF20021123201)
【CateGory Index】: TG743
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【References】
Chinese Journal Full-text Database 3 Hits
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【Co-citations】
Chinese Journal Full-text Database 7 Hits
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