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Vibration Signal Analysis for Fault Identification of a Control Component

Volume 5, Number 4, July 2009 - Paper 5  - pp. 357 - 366


1Vishwakarma Institute of Technology, Pune, India
2College of Engineering, Pune, India

(Received on July 2, 2008, revised on November 12, 2008)


In continuous process industries the importance of predictive maintenance is increasing day by day. The unscheduled shutdowns and performance degradation of control components causes severe issues as regards to quantity/quality of production. The moving parts associated with control elements make them susceptible to faults and failures. In this paper a method is proposed to identify the faults of a final control element. The detailed study of a single seated globe valve using vibration signal analysis is presented. The QMF bank is used for processing the vibration signal. Main issues associated with this study are the positioning of the vibration sensors, signal to noise ratio, and filter coefficients along with the selection of network topology, training rule, number of hidden layers, and number of perceptrons in each layer.


References: 15

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