Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1301-24
Abstract
In this paper, a robust algorithm for fault diagnosis of power system equipment based on a failure-sensitive matrix (FSM) is presented. The FSM is a dynamic matrix structure updated by multiple measurements (online) and test results (offline) on the systems. The algorithm uses many different artificial intelligence and expert system methods for adaptively detecting the location of faults, emerging failures, and causes of failures. In this algorithm, all data obtained from the power transformer, which have various nonlinear input and output parameters, are processed using the parallel matrix structure of the FSM to reach a global solution quickly. The parameters of a power transformer are used to verify the algorithm under 4 operating conditions simulated in the MATLAB--Simulink program. The obtained results show that the algorithm is convenient for determining incipient failures of a system that consists of multiple parameters.
Keywords
Failure--sensitive matrix, fault diagnosis, expert system, monitoring, transformer
First Page
298
Last Page
315
Recommended Citation
BİÇEN, YUNUS and ARAS, FARUK
(2015)
"A robust algorithm based on a failure-sensitive matrix for fault diagnosis of power systems: an application on power transformers,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 23:
No.
1, Article 20.
https://doi.org/10.3906/elk-1301-24
Available at:
https://journals.tubitak.gov.tr/elektrik/vol23/iss1/20
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
