Applications of artificial neural networks (ANNs) to rotating equipment (2011)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Mathematics and Statistics
University of Canterbury. Mechanical Engineering
AuthorsAsgari, H., Chen, X., Sainudiin, R.show all
Rotating equipment is the beating heart of nearly all industrial plants and specifically plays a vital role in oil and power industries. In spite of all research which has been carried out so far to discover accurate dynamics of this kind of equipment, there are still many unknown and unexpected problems on operational sites which need to be solved in order to approach to the optimal operational point of rotary machines. Fortunately, Artificial Neural Networks (ANNs) can provide appropriate solutions to many of these problems. In this paper, a general overview of different applications of ANNs to Industrial rotating equipment is presented. These applications cover a variety of areas including condition monitoring, sensor validation, fault diagnosis, system identification and control. The advantages of using ANNs for each application are discussed briefly by providing practical examples.
CitationAsgari, H., Chen, X., Sainudiin, R. (2011) Applications of artificial neural networks (ANNs) to rotating equipment. Tehran, Iran: 3rd Conference on Rotating Equipment in Oil and Power Industries, 22-23 Nov 2011.
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Keywordsneural network; rotating equipment; rotating machine; oil and power industry
ANZSRC Fields of Research08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080108 - Neural, Evolutionary and Fuzzy Computation
09 - Engineering::0913 - Mechanical Engineering::091304 - Dynamics, Vibration and Vibration Control