Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69436
Title: Application of vibration sensing in monitoring and control of machine health
Authors: Tang, K.Z. 
Tan, K.K. 
De Silva, C.W. 
Lee, T.H. 
Tan, K.C. 
Soh, S.Y.
Issue Date: 2001
Citation: Tang, K.Z.,Tan, K.K.,De Silva, C.W.,Lee, T.H.,Tan, K.C.,Soh, S.Y. (2001). Application of vibration sensing in monitoring and control of machine health. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 1 : 377-382. ScholarBank@NUS Repository.
Abstract: In this paper, an application for monitoring and control of machine health using vibration sensing is developed. This vibration analyzer is able to continuously monitor and compare the actual vibration pattern against a vibration signature, based on a fuzzy fusion technique. More importantly, this intelligent knowledge-based real-time analyzer is able to detect excessive vibration conditions much sooner than a resulting fault could be detected by an operator. Subsequently, appropriate actions can be taken, say to provide a warning or automatic corrective action. This approach may be implemented independently of the control system and as such can be applied to existing equipment without modification of the normal mode of operation. Simulation and experimental results are provided to illustrate the advantages of the approach taken in this application.
Source Title: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
URI: http://scholarbank.nus.edu.sg/handle/10635/69436
Appears in Collections:Staff Publications

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