Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery

Author:

Li Zhinong,Wu Zhaotong,He Yongyong,Fulei Chu

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference17 articles.

1. Xie Jinhui, Hidden Markov Model (HMM) applied in the speech recognition, Huazhong University of Science and Technology Press, Wuhan, 1995, pp. 3–25.

2. D. Lederman, A. Cohen, E. Zmora, K. Wermke, S. Hauschildt, A. Stellzig-Eisenhauer, On the use of hidden Markov models in infants’ cry classification, The 22nd Convention of Electrical and Electronics Engineers, Israel, 2002, pp. 350–352.

3. Zhao Li, Luo Giangang, Lin Haibin, Study on the Chinese continuous speech recognition under noise environments based on PCANN/HMM, The Sixth International Conference on Signal Processing, Vol. 1, 2002, Beijing, China, pp. 500–503.

4. O.A. Abdel Alim, N. Elboghdadly, N.M. El Shaar, HMM/NN hybrids for continuous speech recognition, The 18th National Radio Science Conference (NRSC), Vol. 2, 2001, Mansoura, Egypt, pp. 509–516.

5. Accident identification in nuclear power plants using hidden Markov models;Kwon;Engineering Applications of Artificial Intelligence,1999

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