A REVIEW – FAULT DETECTION AND CLASSIFICATION IN TRANSMISSION AND DISTRIBUTION LINES
Umesh Nath1, Mrs. Kumari Ashwini2, Dr. Pramod Sharma3
1Scholar, 2Department of Electrical Engineering, 3Principal
RCERT, Jaipur, India
Abstract— Fault identification is a critical process in ensuring the reliability and safety of power systems, including electrical grids, mechanical structures, and industrial processes. In this review paper researchers use a various parameter wich is hepful to identify the fault with a minimum duration of time. Those parameters are Hilbert transform (HT), Stockwell transform (ST), Allination Coefficient, and some useful techniques like GSM and IOT based but the most likely topic that’s chosen by researcher is single processing technique. This technique effectively captures and analyzes the signal characteristics associated with normal and faulty conditions. By transforming the time-domain signals into frequency or other relevant domains, the technique can isolate features indicative of faults, such as harmonic distortions, transient changes, or shifts in signal patterns. The accuracy of fault detection is enhanced by the technique’s ability to filter out noise and focus on the most relevant signal components. This technique is useful in various fields, including power systems, where it helps in identifying electrical faults like short circuits, grounding issues, and equipment failures. This review paper survey all type of techniques which is helpful for those researcher who want to research in this field. Single processing technique is an attractive solution for real-time fault detection and diagnosis, particularly in systems where quick decision-making is essential.
Keywords—Hilbert transform, Stockwell transform, Allination coefficient, GSM, IOT.