Fault Detection and Diagnostics for Non-Intrusive Monitoring using Motor Harmonics

被引：13

作者：

Orji, Uzoma A. ^{[1
]}

Remscrim, Zachary ^{[1
]}

Laughman, Christopher ^{[1
]}

Leeb, Steven B. ^{[1
]}

Wichakool, Warit ^{[1
]}

Schantz, Christopher ^{[1
]}

Cox, Robert ^{[1
]}

Paris, James ^{[1
]}

Kirtley, James L., Jr. ^{[1
]}

Norford, Les K. ^{[1
]}

机构：

[1] MIT, Cambridge, MA 02139 USA

来源：

2010 TWENTY-FIFTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC) | 2010年

关键词：

AIRGAP ECCENTRICITY; INDUCTION-MOTOR; ROTOR; SPECTRUM; BARS;

D O I：

10.1109/APEC.2010.5433437

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Harmonic analysis of motor current has been used to track the speed of motors for sensorless control. Algorithms exist that track the speed of a motor given a dedicated stator current measurement, for example [1-5]. Harmonic analysis has also been applied for diagnostic detection of electro-mechanical faults such as damaged bearings and rotor eccentricity [6-17]. This paper demonstrates the utility of harmonic analysis for fault detection and diagnostics in non-intrusive monitoring applications, where multiple loads are tracked by a sensor monitoring only the aggregate utility service. An optimization routine is implemented to maintain accuracy of speed estimation while using shorter lengths of data.

引用

页码：1547 / 1554

页数：8

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