基于钻削声音信号累积功率谱的钻头失效监测.pdfVIP

中国测试CHINA MEASUREMENT TEST Vol.42 No.2February，2016第 42卷第 2期2016年 2月 基于钻削声音信号累积功率谱的钻头失效监测 郭 庆袁 吴广军袁 徐翠锋 （桂林电子科技大学电子工程与自动化学院，广西 桂林 541004） 摘 要院钻头工况的实时自动监测有助于提高钻削加工过程的可靠性遥针对钻头磨损在线监测袁提出基于钻头工作声 音信号累积功率谱的失效监测法遥采用驻极体声电转换器采集声音信号袁根据钻头磨损的慢变性袁提出基于累积功率 谱提取能量特征集的方案袁并使用 BIF特征选择结合 Fisher准则筛选最优特征集袁解决特征数量较多的问题遥 最后袁 利用二分类逻辑回归实现特征集与磨损量之间的数学建模袁以 h函数值作为失效判断的依据遥结果表明院系统在钻头 磨损严重并接近失效时袁计算失效概率值0.7袁近似等于真实值袁能为钻头更换决策提供可靠依据遥 关键词院钻头磨损；声音信号；功率谱；BIF；Fisher准则；逻辑回归 文献标志码院A 文章编号院1674-5124渊2016冤02-0111-04 Monitoring of failure drill based on cumulative power spectrum of acoustic information GUO Qing，WU Guangjun，XU Cuifeng （School of Electronic Engineering and Automation，Guilin University of Electronic Technology， Guilin 541004，China） Abstract: Real-time and automatic detection of drill’s working conditions contribute to improve the reliability of drilling process. An approach for online drill wear monitoring was proposed according to the cumulative power spectrum of drill acoustic information. The acoustic information was acquired by an electret microphone. The optimal feature set was screened by BIF feature selection and Fisher criterion to minimize the number of features. Furthermore， a mathematical model for feature set and wear amount was created by binary logistic regression and the function h was used as the criterion for failure determination. The study has indicated that the failure probability is higher than 0.7 and approximately equals to the true value when the drill is worn heavily and almost out of service. This approach mentioned above can provide a reliable basis for drill replacement. Keywords: drill wear；acoustic signal；power spectrum；BIF；Fisher criterion；logic regression 收稿日期院2015-03-10曰收到修改稿日期院2015-05-07 基金项目院桂林市科技攻关项目渊LD14042E冤曰广西重点学科重点实验室项目渊LD12047B冤 作者简介：郭 庆渊1962-冤袁男袁陕西杨凌示范区人袁教授袁研究方向为信号处理尧微弱信号检测及测控技术遥 doi院10.11857/j.issn.1674-5124.2016.02.025 0 引 言 钻床加工质量主要受钻头磨损状态影响遥 钻头 变钝会导致加工孔壁粗糙袁甚至造成钻头断裂尧工件 损坏[1-2]以及生产成本增加遥 传统解决办法是周期性 地更换钻头袁但会损伤刀具的有效加工能力袁具有 一定的不准确性遥因此只有实时尧在线地监测钻头工 况袁根据磨损程度发出换