Adaptive multiple fault detection and alarm processing with probabilistic network
Whei-Min Lin, Chia‐Hung Lin, Zheng-Chi Sun, Ming-Chieh Tsao · 2004
This paper presents the fault detection and alarm processing with fault detection system (FDS). FDS consists of adaptive architecture with probabilistic neural network (PNN). Training PNN uses the primary/back-up information of protective devices to create the training sets. However when network topology changes, adaptation capability becomes important in neural network application. PNN can be retained and estimated effectively. With a looped system, computer simulations were conducted to show the effectiveness of the proposed system, and PNNs adapt network topology changes.