屈梁生论文集:机械监测诊断中的理论与方法
屈梁生论文集:机械监测诊断中的理论与方法作者:屈梁生著 开 本:16 书号ISBN:9787560530529 定价:196.0 出版时间:暂无 出版社:西安交通大学出版社 |
屈梁生论文集:机械监测诊断中的理论与方法 节选
《机械监测诊断中的理论与方法》全文收录了中国工程院院士屈梁生的166篇高水平论文。内容涉及全息谱、全息动平衡、独立分量/主分量、质量保障与优化、小波分析、遗传算法、贝叶斯网络、支持向量机、模糊理论、神经网络、专家系统、监测预报、Wigner分布、噪声抑制、回归分析、信息化生产、粗糙集、决策表/决策树、循环统计、统计模拟、EMD、故障诊断理论与方法等。另附有345篇论文的总篇目、论文主题索引和研究对象索引三个附录。
屈梁生论文集:机械监测诊断中的理论与方法 相关资料
插图:INTRODUCTIONNowadays,the grinding operation is one of the mostimportant metal processing methods.The per.formance and reliability of modem machine productsare seriously influenced by the surface perfection.dimensiona!and geometrical accuracies of their ele.ments.the majority of which are finished bv digfferentkinds of grinding operations.In modem automaticgrinders it is quite necessary to adopt the on.1inesurveillance via dynamic signal recognition in orderto prevent the degradation and deterioration ofworkpieces as the result of wheel wear andlOSS of itscutting ability.In general,the wheel life between twosucceeding turning operations is characterized by thevariation of grinding sound,increase of grindingforces and the violence of grinding chatter。which canbe easily recognized by experienced operators.Butwith regard to the automatic in-process recognitionof these signals the closest attention js now solicitedin order to monitor the performance of wheelandgrinder under different grinding conditions and toprognosticate the remaining wheel lift.In this paper.a new criterion called the Kullback-Leibler informa.tion humber based on time.series analysis and infor.mation theory is suggested to monitor the per.formance of whee!and grinder under difierentworking conditions and to prognosticate the remain.ing wheel life.The computer flow chart for supc-vision of the grinding cycles is also designed andtested.PROCEDURE The main aspccts for on.1ine surveillance of agrinding process by means of the Kullback-Leiblerinformation humber are as follows:(1)measurementof the dynamic signals emitted in difierent stages ofgrinding process between two succeeding trueingoperations;(2)A/D conversion.of each signal to formthe corresponding discrete time series;(3)establish.ement of the reference models.These models can beautoregressive moving average(ARMA)models orsimplified autoregressive(AR)models[1]
工业技术 机械仪表工业 机械运行与维修
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