Embedded fault diagnosis and prognosis

J. Viola, J. Restrepo, R. Harley
{"title":"Embedded fault diagnosis and prognosis","authors":"J. Viola, J. Restrepo, R. Harley","doi":"10.1049/PBPO120E_CH4","DOIUrl":null,"url":null,"abstract":"The increasing use of power electronics in industry applications, energy conversion, electric vehicles (EVs), aircrafts, vessels, etc. propels efforts at early detection of potential abnormalities, which can degrade system performance, in order to reduce profit losses and even risk to human lives. In the onset of the power electronics digital control era, microprocessors were used exclusively for control tasks, mainly due to the lack in computing power needed by diagnosis algorithms. Nowadays, powerful low-cost microprocessors have become standard options for the design engineer, and embedded routines that perform real-time fault diagnosis are easily added to the design. This chapter gathers the most relevant embedded techniques for real-time condition monitoring (CM) and fault diagnosis in power drives based systems that have been reported recent years, with special emphasis on those methods using electric variables (i.e., voltage and current) as health indicators of the involved devices.","PeriodicalId":387257,"journal":{"name":"Fault Diagnosis for Robust Inverter Power Drives","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fault Diagnosis for Robust Inverter Power Drives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/PBPO120E_CH4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The increasing use of power electronics in industry applications, energy conversion, electric vehicles (EVs), aircrafts, vessels, etc. propels efforts at early detection of potential abnormalities, which can degrade system performance, in order to reduce profit losses and even risk to human lives. In the onset of the power electronics digital control era, microprocessors were used exclusively for control tasks, mainly due to the lack in computing power needed by diagnosis algorithms. Nowadays, powerful low-cost microprocessors have become standard options for the design engineer, and embedded routines that perform real-time fault diagnosis are easily added to the design. This chapter gathers the most relevant embedded techniques for real-time condition monitoring (CM) and fault diagnosis in power drives based systems that have been reported recent years, with special emphasis on those methods using electric variables (i.e., voltage and current) as health indicators of the involved devices.
嵌入式故障诊断和预测
电力电子在工业应用、能源转换、电动汽车(ev)、飞机、船舶等领域的使用越来越多,这推动了对可能降低系统性能的潜在异常的早期检测,以减少利润损失,甚至减少对人类生命的风险。在电力电子数字控制时代的开始,微处理器专门用于控制任务,主要是由于缺乏诊断算法所需的计算能力。如今,功能强大的低成本微处理器已经成为设计工程师的标准选择,并且可以很容易地将执行实时故障诊断的嵌入式例程添加到设计中。本章收集了近年来报道的基于电力驱动系统的实时状态监测(CM)和故障诊断中最相关的嵌入式技术,特别强调了那些使用电气变量(即电压和电流)作为相关设备健康指标的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信