A probability hypersphere set neural network was proposed for engine Fault Detection and Diagnosis (FDD). The neural network utilized probability sets as engine fault classes. Each probability set was an aggregate of some hyperspheres.A hypersphere was described by a center and a radius. The probability hypersphere set neural network can learn nonlinear failure boundaries in two passes through the training data,and provide the ability to incorporate new and refine existing failure classes without retraining. The FDD simulation of YF20 engine systems demonstrates the strong qualities of the probability hypersphere set neural network.
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樊忠泽,黄敏超.基于概率超球集神经网络的发动机故障诊断[J].动力学与控制学报,2009,7(1):92~96; Fan Zhongze, Huang Minchao. Engine fault diagnosis based on probability hypersphere set neural network[J]. Journal of Dynamics and Control,2009,7(1):92-96.