店 基于故障诊断的电机可靠性预测 全面探索电机和驱动器的故障诊断和故障预测的新兴方法 刘宁 等 译 电子工业出版社

本书全面探索了电机和驱动器的故障诊断和故障预测的新兴方法。作者从基本背景开始，描述了电机和驱动器故障的物理原理、影响故障和信号的设计和组件，以及信号的处理和分析。另外，本书基于描述这些信号的特征，介绍通常用于提取相关特征以诊断电机或驱动器健康状况的方法、识别电机或驱动器健康状态的方法、区分可能的故障及其严重性的方法，讨论了用于识别故障趋势和估计剩余使用寿命的工具。本书解决了故障诊断、故障预测和故障缓解之间的关系，有较高的应用参考价值。

*1章 基本方法和工具··································································1
1.1 一般方法·········································································1
1.2 特征提取：信号和预处理····················································2
1.2.1 原始信号：信号和传感器类型·······································2
1.2.2 预处理····································································17
1.2.3 模型方法·································································38
1.2.4 等价空间法······························································44
1.3 特征简化——主成分分析···················································46
1.3.1 主成分分析：空间简化和无监督聚类······························47
1.3.2 组间关联·································································49
1.3.3 信息含量：香农熵·····················································50
1.3.4 监督聚类的模式大小简化············································51
1.3.5 无监督聚类的模式大小简化：拉普拉斯分数·····················53
1.3.6 无监督聚类的聚类数选择············································54
1.3.7 其他的聚类质量准则··················································56
1.4 聚类方法········································································58
1.4.1 概论·······································································58
1.4.2 监督聚类·································································61
1.4.3 无监督聚类······························································67
1.5 预测方法········································································73
1.5.1 预测过程·································································73
1.5.2 时间序列外推法························································75
1.5.3 贝叶斯网络······························································80
1.5.4 马尔可夫链······························································82
1.5.5 隐马尔可夫模型························································82
1.5.6 雨流算法·································································87
原著参考文献·········································································90
*2章 应用与具体细节·································································99
2.1 电机驱动概述··································································98
2.2 电机···············································································99
2.2.1 基本原理·······························································100
2.2.2 磁钢和磁体····························································101
2.2.3 绕组和绝缘····························································105
2.3 电机型号、运行与控制····················································108
2.3.1 三相绕组·······························································108
2.3.2 感应电机·······························································109
2.3.3 永磁交流电机·························································113
2.4 电机故障······································································115
2.4.1 操作变量及其测量···················································116
2.4.2 监控、检测和故障分类·············································117
2.4.3 轴承·····································································121
2.4.4 绝缘·····································································133
2.5 开路及短路故障、偏心、磁铁断裂和转子断条·····················143
2.5.1 感应电机·······························································144
2.5.2 永磁交流电机·························································158
2.5.3 传感器故障····························································166
2.5.4 故障缓解与管理······················································168
2.6 电力电子器件和系统·······················································172
2.6.1 交流电机中的电力电子器件·······································173
2.6.2 静态开关·······························································179
2.6.3 电容器··································································191
2.6.4 器件故障及其表现···················································202
2.6.5 电容器失效模式······················································207
2.6.6 功率器件故障诊断与预测技术····································207
2.6.7 电容器故障诊断与预测技术·······································247
原著参考文献·······································································256
第3章 提升可靠性的故障诊断和预测·············································274
3.1 引言·············································································274
3.2 基本原则······································································274
3.2.1 不可修复项目随时间失效的模式·································278
3.2.2 分布函数·······························································278
3.2.3 可靠性和预测的置信度·············································280
3.3 组件可靠性···································································281
3.4 子系统和系统的可靠性····················································287
3.5 寿命和可靠性预测··························································290
3.5.1 基于Coffin-Manson的分析········································291
3.5.2 阿伦尼乌斯方程······················································291
3.6 故障管理和缓解·····························································292
3.7 设计和制造···································································294
3.8 应用和工况研究·····························································296
3.9 定期维护、视情维护和故障预测提高可靠性························316
3.10 结论···········································································326
原著参考文献·······································································327
缩略词对照········································································331

Elias G. Strangas，美国密歇根州立大学（Michigan State University, MSU）电气与计算机学院教授，富布赖特学者（Fulbright Scholars），*23届国际电机会议(ICEM 2018)大会主席，*11届IEEE电机与电力电子及驱动故障诊断国际研讨会（SDEMPED 2017）主席，获MSU教育*越奖。1975年于希腊国家技术大学（National Technical University of Greece）取得电气与机械工程学士学位，1977年和1980年于美国匹兹堡大学（University of Pittsburgh）取得电气工程硕士学位和博士学位。1981到1983年在希腊雅典施耐德电气公司（ELVIM）担任研发经理，1983年到1986年在美国密苏里大学罗拉分校（University of Missouri, Rolla）任教。自1986年后一直执教于MSU到今，并负责电机与驱动实验室（EMDL）的指导和管理工作。主要进行电机设计与驱动控制方面的研究，包括电机参数数值计算方法、电机与驱动系统的设计和控制、电机驱动系统故障诊断和容错控制、驱动系统可靠性等。
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基于现代信息技术，进行装备故障诊断和可靠性预测

基于现代信息技术，进行装备故障诊断和可靠性预测

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