Evaluating nominal parameters in fault diagnosis

Eden W. M. Ma; Tommy W. S. Chow; Michael G. Pecht

doi:10.1109/PHM.2012.6228840

Evaluating nominal parameters in fault diagnosis

Eden W. M. Ma, Tommy W. S. Chow, Michael G. Pecht

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

The first critical step in system health management, which enhance the safety, reliability, and availability of the system, is collecting appropriate data for further process. In this paper, an evaluation method for monitoring nominal parameters is proposed. The approach combines classification and clustering to evaluate the relevance of the monitored parameters and the faults. © 2012 IEEE.

Original language	English
Title of host publication	Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012
DOIs	https://doi.org/10.1109/PHM.2012.6228840
Publication status	Published - 2012
Event	2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012 - Beijing, China Duration: 23 May 2012 → 25 May 2012

Conference

Conference	2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012
Place	China
City	Beijing
Period	23/05/12 → 25/05/12

Research Keywords

formatting
insert
style
styling

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10.1109/PHM.2012.6228840

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title = "Evaluating nominal parameters in fault diagnosis",

abstract = "The first critical step in system health management, which enhance the safety, reliability, and availability of the system, is collecting appropriate data for further process. In this paper, an evaluation method for monitoring nominal parameters is proposed. The approach combines classification and clustering to evaluate the relevance of the monitored parameters and the faults. {\textcopyright} 2012 IEEE.",

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booktitle = "Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012",

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AB - The first critical step in system health management, which enhance the safety, reliability, and availability of the system, is collecting appropriate data for further process. In this paper, an evaluation method for monitoring nominal parameters is proposed. The approach combines classification and clustering to evaluate the relevance of the monitored parameters and the faults. © 2012 IEEE.

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U2 - 10.1109/PHM.2012.6228840

DO - 10.1109/PHM.2012.6228840

M3 - RGC 32 - Refereed conference paper (with host publication)

BT - Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012

T2 - 2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012

Y2 - 23 May 2012 through 25 May 2012

ER -

Evaluating nominal parameters in fault diagnosis

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