Condition monitoring based on sound feature extraction during bone drilling process

摘要：

　　In order to enhance operation safety,this study analyzes the sound pressure signal obtained from the bone drilling process for condition monitoring.The drilling sound is caused by the contact between the drill bit and the bone,and we only pay attention to the harmonic components of the sound pressure signal whose frequencies are integer multiples of spindle frequency.Lifting wavelet transform is performed to extract the crucial characteristic from the sound pressure signal to correlate drilling condition.The product of standard deviation of wavelet coefficients is calculated to determine whether cortical or cancellous bone is drilled.The proposed method is experimentally verified through the drilling operation in in vitro porcine spines,and the results confirm the feasibility and achievable performance of the method and then the safety of the drilling operation is improved.

关键词： Lifting wavelet transform condition monitoring sound signal processing surgical robot

作者: DAI Yu XUE Yuan ZHANG Jianxun

作者单位: Institute of Robotics and Automatic Information System,Nankai University,Tianjin 300071,China Department of Orthopedic Surgery,Tianjin Medical University General Hospital,Tianjin 300052,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7317-7322

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）