Machine Learning Strategy for Fault Classification Using Only Nominal Data
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[1] Mark A. Kramer,et al. Autoassociative neural networks , 1992 .
[2] Asoke K. Nandi,et al. FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS , 2002 .
[3] J. Sanz,et al. Fault diagnosis of rotating machinery based on auto-associative neural networks and wavelet transforms , 2007 .
[4] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[5] K. R. Al-Balushi,et al. Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection , 2003 .
[6] Asoke K. Nandi,et al. Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines , 2006 .
[7] Mohamed A. El-Sharkawi,et al. Elliptical novelty grouping for on-line short-turn detection of excited running rotors , 1999 .
[8] Bildungswesen. Advanced School for Computing and Imaging , 2010 .
[9] Jeff A. Bilmes,et al. A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models , 1998 .
[10] Tshilidzi Marwala,et al. EARLY CLASSIFICATIONS OF BEARING FAULTS USING HIDDEN MARKOV MODELS, GAUSSIAN MIXTURE MODELS, MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND FRACTALS , 2006 .
[11] U. A. Monteiro,et al. On fault classification in rotating machines using fourier domain features and neural networks , 2013, 2013 IEEE 4th Latin American Symposium on Circuits and Systems (LASCAS).
[12] James R. McDonald,et al. The use of artificial neural networks for condition monitoring of electrical power transformers , 1998, Neurocomputing.
[13] R. E. Uhrig,et al. Vibration monitoring with artificial neural networks , 1991 .
[14] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.