Condition monitoring and classification of rotating machinery using wavelets and hidden Markov models

Author:

Miao Qiang,Makis Viliam

Publisher

Elsevier BV

Subject

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

Reference22 articles.

1. M. Pechenizkiy, A. Tsymbal, S. Puuronen, PCA-based feature transformation for classification issues in medical diagnostics, in: Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS’04), 2004.

2. Statistical process control of multivariate processes;MacGregor;Control Engineering Practice,1995

3. Feature extraction and classification of breast cancer on dynamic magnetic resonance imaging using artificial neural network;Abdolmaleki;Cancer Letters,2001

4. Order bispectrum: a new tool for reciprocated machine condition monitoring;Kocur;Mechanical Systems and Signal Processing,2000

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

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