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
