Liu Yiqi, Bazzi Ali M
Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA.
ISA Trans. 2017 Sep;70:400-409. doi: 10.1016/j.isatra.2017.06.001. Epub 2017 Jun 9.
Preventing induction motors (IMs) from failure and shutdown is important to maintain functionality of many critical loads in industry and commerce. This paper provides a comprehensive review of fault detection and diagnosis (FDD) methods targeting all the four major types of faults in IMs. Popular FDD methods published up to 2010 are briefly introduced, while the focus of the review is laid on the state-of-the-art FDD techniques after 2010, i.e. in 2011-2015 and some in 2016. Different FDD methods are introduced and classified into four categories depending on their application domains, instead of on fault types like in many other reviews, to better reveal hidden connections and similarities of different FDD methods. Detailed comparisons of the reviewed papers after 2010 are given in tables for fast referring. Finally, a dedicated discussion session is provided, which presents recent developments, trends and remaining difficulties regarding to FDD of IMs, to inspire novel research ideas and new research possibilities.
防止感应电动机（IM）故障和停机对于维持工商业中许多关键负载的功能至关重要。本文全面综述了针对感应电动机所有四种主要故障类型的故障检测与诊断（FDD）方法。简要介绍了截至2010年发表的常用FDD方法，而综述的重点则放在2010年之后（即2011 - 2015年以及2016年的部分）的最新FDD技术上。介绍了不同的FDD方法，并根据其应用领域将其分为四类，而不是像许多其他综述那样根据故障类型分类，以便更好地揭示不同FDD方法之间隐藏的联系和相似性。2010年之后的综述论文的详细比较以表格形式给出，便于快速查阅。最后，提供了一个专门的讨论部分，介绍了感应电动机FDD方面的最新发展、趋势和剩余困难，以激发新的研究思路和新的研究可能性。
