Chatter detection in band sawing based on discriminant analysis of sound features |
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| Institution: | 1. PETRA Machines d.o.o., Cesta Andreja Bitenca 68, 1000 Ljubljana, Slovenia;2. University of Ljubljana, Faculty of Mech. Engineering, Aškerčeva 6, 1000 Ljubljana, Slovenia;1. Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland;2. Lodz University of Technology, Stefanowskiego 1/15, 90-924 Lodz, Poland;1. Corporate Manufacturing Engineering Centre, Toshiba Corporation, 33 Shin-isogo-cho, Isogo, Yokohama 235-0017, Japan;2. Department of Mechanical Engineering, Osaka University, 1-1 Yamadaoka, Suita 565-0871, Japan;1. School of Mechanical Engineering and Automation, Beihang University, Beijing 10091, China;2. Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA;1. State Key Laboratory of Material Processing and Die & Mold Technology, Huazhong University of Science and Technology, Wuhan, 430074, PR China;2. National NC System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, 430074, PR China |
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| Abstract: | In the paper chatter detection in band sawing is considered as a signal processing and classification problem. A multi-sensory experimental setup was established on an industrial band saw including sound, acceleration and cutting force, and measurements. Based on an experimental analysis sound signal is shown to be the most appropriate for chatter detection, therefore a sound-based online chatter detection method is proposed. The method consists of a sound signal pre-processing with Short-Time Fourier Transform, extraction of features in frequency space with optimal threshold and application of Quadratic Discriminant Analysis for chatter detection. The proposed method tested with twofold cross validation yields over 96% success of chatter detection. |
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