本書全面探索了電機和驅動器的故障診斷和故障預測的新興方法。作者從基本背景開始，描述了電機和驅動器故障的物理原理、影響故障和信號的設計和組件，以及信號的處理和分析。另外，本書基于描述這些信號的特征，介紹通常用于提取相關特征以診斷電機或驅動器健康狀況的方法、識別電機或驅動器健康狀態的方法、區分可能的故障及其嚴重性的方法，討論了用于識別故障趨勢和估計剩余使用壽命的工具。本書解決了故障診斷、故障預測和故障緩解之間的關系，有較高的應用參考價值。
Elias G. Strangas，美國密歇根州立大學（Michigan State University, MSU）電氣與計算機學院教授，富布賴特學者（Fulbright Scholars），第23屆國際電機會議(ICEM 2018)大會主席，第11屆IEEE電機與電力電子及驅動故障診斷國際研討會（SDEMPED 2017）主席，獲MSU教育卓越獎。1975年于希臘國家技術大學（National Technical University of Greece）取得電氣與機械工程學士學位，1977年和1980年于美國匹茲堡大學（University of Pittsburgh）取得電氣工程碩士學位和博士學位。1981至1983年在希臘雅典施耐德電氣公司（ELVIM）擔任研發經理，1983年至1986年在美國密蘇里大學羅拉分校（University of Missouri, Rolla）任教。自1986年后一直執教于MSU至今，并負責電機與驅動實驗室（EMDL）的指導和管理工作。主要進行電機設計與驅動控制方面的研究，包括電機參數數值計算方法、電機與驅動系統的設計和控制、電機驅動系統故障診斷和容錯控制、驅動系統可靠性等。
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第1章 基本方法和工具··································································1
1.1 一般方法·········································································1
1.2 特征提取：信號和預處理····················································2
1.2.1 原始信號：信號和傳感器類型·······································2
1.2.2 預處理····································································17
1.2.3 模型方法·································································38
1.2.4 等價空間法······························································44
1.3 特征簡化——主成分分析···················································46
1.3.1 主成分分析：空間簡化和無監督聚類······························47
1.3.2 組間關聯·································································49
1.3.3 信息含量：香農熵·····················································50
1.3.4 監督聚類的模式大小簡化············································51
1.3.5 無監督聚類的模式大小簡化：拉普拉斯分數·····················53
1.3.6 無監督聚類的聚類數選擇············································54
1.3.7 其他的聚類質量準則··················································56
1.4 聚類方法········································································58
1.4.1 概論·······································································58
1.4.2 監督聚類·································································61
1.4.3 無監督聚類······························································67
1.5 預測方法········································································73
1.5.1 預測過程·································································73
1.5.2 時間序列外推法························································75
1.5.3 貝葉斯網絡······························································80
1.5.4 馬爾可夫鏈······························································82
1.5.5 隱馬爾可夫模型························································82
1.5.6 雨流算法·································································87
原著參考文獻·········································································90
第2章 應用與具體細節·································································99
2.1 電機驅動概述··································································98
2.2 電機···············································································99
2.2.1 基本原理·······························································100
2.2.2 磁鋼和磁體····························································101
2.2.3 繞組和絕緣····························································105
2.3 電機型號、運行與控制····················································108
2.3.1 三相繞組·······························································108
2.3.2 感應電機·······························································109
2.3.3 永磁交流電機·························································113
2.4 電機故障······································································115
2.4.1 操作變量及其測量···················································116
2.4.2 監控、檢測和故障分類·············································117
2.4.3 軸承·····································································121
2.4.4 絕緣·····································································133
2.5 開路及短路故障、偏心、磁鐵斷裂和轉子斷條·····················143
2.5.1 感應電機·······························································144
2.5.2 永磁交流電機·························································158
2.5.3 傳感器故障····························································166
2.5.4 故障緩解與管理······················································168
2.6 電力電子器件和系統·······················································172
2.6.1 交流電機中的電力電子器件·······································173
2.6.2 靜態開關·······························································179
2.6.3 電容器··································································191
2.6.4 器件故障及其表現···················································202
2.6.5 電容器失效模式······················································207
2.6.6 功率器件故障診斷與預測技術····································207
2.6.7 電容器故障診斷與預測技術·······································247
原著參考文獻·······································································256
第3章 提升可靠性的故障診斷和預測·············································274
3.1 引言·············································································274
3.2 基本原則······································································274
3.2.1 不可修復項目隨時間失效的模式·································278
3.2.2 分布函數·······························································278
3.2.3 可靠性和預測的置信度·············································280
3.3 組件可靠性···································································281
3.4 子系統和系統的可靠性····················································287
3.5 壽命和可靠性預測··························································290
3.5.1 基于Coffin-Manson的分析········································291
3.5.2 阿倫尼烏斯方程······················································291
3.6 故障管理和緩解·····························································292
3.7 設計和制造···································································294
3.8 應用和工況研究·····························································296
3.9 定期維護、視情維護和故障預測提高可靠性························316
3.10 結論···········································································326
原著參考文獻·······································································327
縮略詞對照········································································331
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