ACO-Initialized Wavelet Neural Network for Vibration Fault Diagnosis of Hydroturbine Generating Unit

Article English OPEN
Zhihuai Xiao; Xinying He; Xiangqian Fu; O. P. Malik;
(2015)
  • Publisher: Hindawi Publishing Corporation
  • Journal: Mathematical Problems in Engineering (issn: 1024-123X, eissn: 1563-5147)
  • Publisher copyright policies & self-archiving
  • Identifiers: doi: 10.1155/2015/354658
  • Subject: TA1-2040 | Mathematics | Engineering (General). Civil engineering (General) | QA1-939 | Article Subject
    acm: MathematicsofComputing_NUMERICALANALYSIS
    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
  • References (16)
    16 references, page 1 of 2

    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

    Zhang, Q., Benveniste, A.. Wavelet networks. IEEE Transactions on Neural Networks. 1992; 3 (6): 889-898

    Cheng, R., Bai, Y.. A novel approach to fuzzy wavelet neural network modeling and optimization. International Journal of Electrical Power & Energy Systems. 2015; 64: 671-678

  • Metrics
Share - Bookmark