id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_n2nvxlrrxzgkxn4tlkfxom5ao4	Deyin Ma	Multi-BP expert system for fault diagnosis of powersystem	2013	8	.pdf	application/pdf	5352	830	82	Fault diagnosis and assessment is a crucial and difficult problem for power system. neural network expert system (BPES) is an often used method in fault diagnosis. layer numbers increasing, BPES becomes time consuming and even hard to converge. propose a novel Multi-BP expert system (MBPES) based method for power system fault diagnosis. use two real power system data sets to test the effectiveness of MBPES. However, the training time of BPNN will grow exponentially with the layer number increasing. BPNN with different number layers according to a XOR problem. two real power system data sets, namely that the transformer In BPES networks, each rule creates a 3-layer sub-network. A sub-digraph of MBPES for high voltage breaker fault data. Research of power transformer fault diagnosis Research of power transformer fault diagnosis Multi-BP expert system for fault diagnosis of power system Multi-BP expert system for fault diagnosis of power system	./cache/work_n2nvxlrrxzgkxn4tlkfxom5ao4.pdf	./txt/work_n2nvxlrrxzgkxn4tlkfxom5ao4.txt