Fault Diagnosis for Redundancy Sensitive Elements Based on Artificial Neural Network
Lin Xue · Yibiao jishu yu chuanganqi · 2003
Discusses a new diagnosis approach to directly and compares the measurement based on ANN,for the fault diagnosis of redundancy sensitive elements in the carrier.Utilizing the high linear property of the adaptive linear element and classification of perceptrons,designed a neural network,which can be used in the fault diagnosis of redundancy sensitive elements.Simulation results show that the method not only can detect fault,fault type and occurring time,but also is sensitive to faults.So this new approach is useful and practicable.