Title :
A new method to detect fault gas in insulation oil using NIR spectroscopy and multivariate calibration
Author :
Borges, Geovany ; Rohwedder, Jarbas ; Bortoni, Edson
Author_Institution :
Technol. Educ. Center, CEFET-MG, Varginha, Brazil
Abstract :
This paper presents a method to analyze the generated gases from decomposition of the insulation oil in power transformer, based on Near Infrared Spectroscopy (NIR) through a developed prototype that can adapt on the Buchholz relay. The combination used of NIR spectroscopy and multivariate calibration has allowed for obtaining information over the samples. This method can be used as an important tool for on-line monitoring of the operational conditions in order to prevent catastrophic failure and minimize outages in the power transformers.
Keywords :
calibration; computerised monitoring; condition monitoring; fault diagnosis; gas sensors; infrared spectroscopy; power transformer insulation; transformer oil; NIR spectroscopy; fault gas detection; insulation oil; multivariate calibration; near infrared spectroscopy; online operational condition monitoring; power transformer; Calibration; Gases; Oil insulation; Power transformer insulation; Spectroscopy; NIR spectroscopy; analysis; gases; oil insulation; power transformers;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4673-4621-4
DOI :
10.1109/I2MTC.2013.6555697