Fault classification using genetic programming

Author:

Zhang Liang,Nandi Asoke K.

Publisher

Elsevier BV

Subject

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

Reference42 articles.

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3. An effective neuro-fuzzy paradigm for machinery condition health monitoring;Yen;IEEE Transactions on Systems, Man and Cybernetics Part B,2001

4. N. Cristianini, C. Campbell, J. Shawe-Taylor, Dynamically adapting kernels in support vector machines, in: Advances in Neural Information Processing Systems, vol. 11, MIT Press, Cambridge, MA, 1999, pp. 204–211.

5. Neural-network-based system for novel fault detection in rotating machinery;Crupi;Vibration and Control,2004

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