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《Journal of Vibration and Shock》 2015-22
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Bone milling condition monitoring based on sound signal processing

DAI Yu;XUE Yuan;ZHANG Jian-xun;Institute of Robotics and Automatic Information System,Nankai University;Orthopedics,Tianjin Medical University General Hospital;  
In consideration of that the sound can provide useful informations about tool-tissue contact,the condition monitoring was realized by acquiring and analyzing the sound signal during laminectomy surgery. A differential equation was presented to describe the vertebral lamina vibration excited by the cutting force,and it is proved that the vibration amplitude will increase as the thickness of the bone decreases. Discrete wavelet transform was performed to extract the harmonic components whose frequencies are integer multiples of spindle frequency from the sound pressure signal,the products of wavelet energy at some special scales were calculated to judge the milling status. The proposed condition monitoring method was experimentally verified through the milling operation in porcine spines,and the results indicate that the product of wavelet energy will increase significantly when the vertebral lamina is going to be penetrated.
【Fund】: 国家自然科学基金资助项目(61403212);; 天津市应用基础与前沿技术研究计划资助项目(14JCQNJC04600)
【CateGory Index】: TN911.7
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 LU Wenbo JIANG Weikang (State Key Laboratory of Mechanical System and Vibration,Shanghai Jiao Tong University,Shanghai 200240);Diagnosing Rolling Bearing Faults Using Spatial Distribution Features of Sound Field[J];机械工程学报;2012-13
【Co-citations】
Chinese Journal Full-text Database 7 Hits
1 QIU Chenlin;CHENG Li;HE Weifeng;School of Aeronautics and Astronautics Engineering,Air Force Engineering University;School of Jet Propulsion,Beijing University of Aeronautics and Astronautics;;A condition monitoring method for laser peening based on the correlation between the adjacent aata[J];振动与冲击;2017-04
2 DAI Yu;XUE Yuan;ZHANG Jian-xun;Institute of Robotics and Automatic Information System,Nankai University;Orthopedics,Tianjin Medical University General Hospital;;Bone milling condition monitoring based on sound signal processing[J];振动与冲击;2015-22
3 ZHOU Jun;WU Xing;CHI Yilin;PAN Nan;LIU Chang;Faculty of Mechanical & Electrical Engineering,Kunming University of Science & Technology;;Blind Deconvolution and Frequency Domain Compressive Sensing Application in Bearing Composite Acoustic Fault Diagnosis[J];机械工程学报;2016-03
4 HE Guangjian;XING Zongyi;ZUO Cheng;ZHANG Yong;Maintenance Center, Guangzhou Metro Corporation;School of Automation, Nanjing University of Science and Technology;;Fault diagnosis method for rolling bearing of metro vehicle based on EMD and SVM[J];铁路计算机应用;2015-08
5 LI Chuan;ZHU Rongrong;YANG Shuai;Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing Technology and Business University;Department of Mechanical Engineering, University of Ottawa;;Optimal Frequency Band Demodulation for Fault Diagnosis of Rolling Element Bearings Based on Fuzzy Fusion of Multiple Criteria[J];机械工程学报;2015-07
6 GAN Chao;LU Yuan;LI Juan;HU Ying;School of Mechanical & Electrical Engineering,Nanchang University;Science and Technology on Vehicle Transmission Laboratory,China North Vehicle Research Institute;;Equipment Fault Diagnosis Technology Based on Apriori Algorithm[J];组合机床与自动化加工技术;2014-01
7 ;Study on Fault-tree Real-time Diagnosis and Its Application Method[J];自动化仪表;2013-08
【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 WANG Taiyong HE Huilong WANG Guofeng LENG Yonggang XU Yonggang LI Qiang (School of Mechanical Engineering, Tianjin University, Tianjin 300072);ROLLING-BEARINGS FAULT DIAGNOSIS BASED-ON EMPIRICAL MODE DECOMPOSITION AND LEAST SQUARE SUPPORT VECTOR MACHINE[J];机械工程学报;2007-04
2 Yu Dejie Yang Yu Cheng Junsheng(College of Mechanical and Automotive Engineering,Hunan University, Changsha 410082);FAULT DIAGNOSIS APPROACH FOR GEARS BASED ON EMD AND SVM[J];机械工程学报;2005-01
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