NDLI: A systematic approach towards manufacturing health management

Content Provider	IEEE Xplore Digital Library
Author	Kar Leong Tew Teddy, S.D. Pei Yi Watt Xiaoli Li
Copyright Year	2011
Description	Author affiliation: Data Mining Department, Institute for Infocomm Research (I2R), 1 Fusionopolis Way, Connexis (South Tower), Singapore 138632 (Kar Leong Tew; Teddy, S.D.; Pei Yi Watt; Xiaoli Li)
Abstract	The complex and dynamic nature of the modern manufacturing environments place an additional burden on the management of system health and maintenance of machineries. In this paper, we propose an integrated solution to fault diagnostics and prognostics that aims to facilitate system health management in a manufacturing environment. The proposed solution addresses the drawbacks of the commonly adopted practice of reactive fault diagnostics approach, in particular: (1) the reusability of the previously developed diagnostics techniques; (2) the loss of time and efforts to revisit previous issues due to lack of central management system; and (3) the lack of mechanism to perform diagnostics knowledge retention. We achieve these objectives in our system through the use of two-pronged approach: (1) the modularization of commonly used analytics algorithms; and (2) the abstraction of the analysis process. The applicability of our proposed solution is demonstrated on the fault diagnostics of a machine fault simulator. From the experimental results, we firmly believe that we have a viable system oriented solution to the underlying problems in providing diagnostics for modern manufacturing environment.
Starting Page	1
Ending Page	6
File Size	1239685
Page Count	6
File Format	PDF
ISBN	9781424479511
e-ISBN	9781424479504
e-ISBN	9781424479498
DOI	10.1109/PHM.2011.5939502
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Accuracy Systematics Fault Diagnostics System Architecture Data Mining Manufacturing Prognostics and health management Machine Fault Analytics Machine Fault Simulator
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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