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Proceedings of the Second International Energy 2030 Conference,
November 4-5, 2008, Abu Dhabi, U.A.E.

Insulation Condition Monitoring of Electric Machines Using Time-Frequency Analysis

B. Barkat

The Petroleum Institute, UAE

N. Al-Musabi

The Petroleum Institute, UAE

M. Poshtan

The Petroleum Institute, UAE

Abstract
In this project, we discuss condition monitoring of insulation for electric machines. This topic is very important for the Oil/Gas industry because of its aging electric power generators. Specifically, the Oil/Gas industry experiences long stoppages of its power generation units for re-winding, during a time when power is extremely needed. In addition, these fixed-interval scheduled maintenance practices are very costly as on average they cost around US$1 million per 11 KV generator. To address these problems, we propose an effective, reliable and automatic technique to monitor the insulation condition of electric




 

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