arxiv: Computer Science::Neural and Evolutionary Computation
Considering the drawbacks of traditional wavelet neural network, such as low convergence speed and high sensitivity to initial parameters, an ant colony optimization- (ACO-) initialized wavelet neural network is proposed in this paper for vibration fault diagnosis of a ... View more
Zhao, D.-L., Ma, W., Liang, W.-K., Luo, X.-Q.. Data fusion fault diagnosis and simulation of hydroelectric units vibration.
Proceedings of the Chinese Society of Electrical Engineering. 2005; 25 (20): 137-142
Shen, D., Chu, F., Chen, S.. Diagnosis and identification of vibration accident for hydro-generator unit.
Journal of Hydrodynamics. 2000; 15 (1): 129-133
Fu, X., Liu, G.-L., Jiang, J.. Application of BP neural networks to condition monitoring and fault diagnosis system of hydro-generator units.
Engineering Journal of Wuhan University. 2002; 35 (1): 24-28
Jia, R., Bai, L., Luo, X., Liu, F.. Expert system on fault diagnosis based on neural network for hydropower units.
Journal of Hydroelectric Engineering. 2004; 23 (6): 120-123
Yang, X., Xie, J., Sun, C.. Neural network method for vibration fault diagnosis of hydroelectric generating set.
Journal of Hydraulic Engineering. 1998: 94-97
Peng, W., Guo, P., Luo, X.. Research on vibration fault diagnosis of hydro-turbine generating unit based on LS-SVM and information fusion technology.
Journal of Hydroelectric Engineering. 2007; 26 (6): 137-142
Zhang, D., Yu, L.. Exponential state estimation for Markovian jumping neural networks with time-varying discrete and distributed delays.
Neural Networks. 2012; 35: 103-111
Peng, W., Luo, X.. Research on vibration fault diagnosis of hydro-turbine generating unit based on wavelet neural network.
Journal of Hydroelectric Engineering. 2007; 26 (1): 123-128