Due to the high number of dissolved gas-in-oil (DGA) samples being produced by over one hundred on-line DGA monitors, Arizona Public Service Company (APS) developed an “exception-based” system for processing and analyzing DGA samples. The system automatically notifies responsible personnel if a sample indicates a new abnormality or indicates a change in abnormality or severity since the previous sample. An artificial neural network (ANN) and expert system based diagnostic tool for transformer fault diagnosis using DGA was developed by Virginia Polytechnic Institute (VT) and adapted by APS to analyze DGA samples from on-line, multi-gas DGA monitors and predict transformer problems. The improved analysis engine was integrated with an in-house notification system that e-mails key T&D personnel of problems noted by the system. 31 persons attended the luncheon.
Biography:
Donald Lamontagne is the Section Leader of T&D Reliability Analysis and Management at Arizona Public Service Corporation (APS) in Phoenix, Arizona for the past seven years. The department is responsible for transmission, substation, and distribution outage collection and analysis, performance of root cause of failure analyses, failure data trending, and management and monitoring of all T&D reliability programs.
Before joining APS T&D, Mr. Lamontagne was employed for eleven years, at the Palo Verde Nuclear Generating Station. Mr. Lamontagne held various positions including Section Leader of Nuclear Assurance Engineering, Section Leader of Procurement Engineering, and Senior Licensing Consultant. Prior to working at the Palo Verde Nuclear Generating Station, Mr. Lamontagne worked six years in the nuclear power industry and two years in fossil power generation in various engineering and construction capacities. Mr. Lamontagne received a B.S. degree in Electrical Engineering from Rensselaer Polytechnic Institute and is a member of IEEE.
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