@inproceedings{0c18b502c021465ebc0b43963d25ae4e,
title = "A method for fault detection on synchronous generators using modified principal component analysis",
abstract = "An online fault detection method for synchronous generators is presented. This method provides efficient and reliable fault detection using Principal Component Analysis (PCA). The traditional PCA technique is modified to enable multivariate modelling using the machine's phase voltages, excitation current and shaft voltage. Hotelling's statistic and the model residuals are used to detect incipient faults on the machine and avoid false alarms. The presented method is tested and validated using an experimental system.",
keywords = "Fault detection, Principal component analysis, Synchronous generators",
author = "W. Doorsamy and Cronje, {W. A.}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Conference on Industrial Technology, ICIT 2015 ; Conference date: 17-03-2015 Through 19-03-2015",
year = "2015",
month = jun,
day = "16",
doi = "10.1109/ICIT.2015.7125162",
language = "English",
series = "Proceedings of the IEEE International Conference on Industrial Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "June",
pages = "586--591",
booktitle = "2015 IEEE International Conference on Industrial Technology, ICIT 2015",
address = "United States",
edition = "June",
}