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HICSS
2003
IEEE

Sensor Fusion and Complex Data Analysis for Predictive Maintenance

10 years 3 months ago
Sensor Fusion and Complex Data Analysis for Predictive Maintenance
An essential step toward the development of an intelligent substation is to provide self-diagnosing capability at the equipment level. Transformers, circuit breakers and other substation equipment should be enabled to detect their potential failures and make life expectancy prediction without human interference. This paper focuses on the development of an on-line equipment diagnostics using artificial intelligence and a nonlinear observer to prevent catastrophic failures in substation equipment, thus providing preventive maintenance. Key elements of the system are a nonlinear observer, system identifier, and fault detector that use a uniquely designed neuro-fuzzy inference engine. Experimental results from application of this system to a distribution transformer are presented.
Rahmat Shoureshi, Tim Norick, David Linder, John W
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where HICSS
Authors Rahmat Shoureshi, Tim Norick, David Linder, John Work, Paula Kaptain
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