Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/11460
Title: Engine gearbox fault diagnosis using empirical mode decomposition method and Na ve Bayes algorithm
Authors: Vernekar, K.
Kumar, H.
Gangadharan, K.V.
Issue Date: 2017
Citation: Sadhana - Academy Proceedings in Engineering Sciences, 2017, Vol.42, 7, pp.1143-1153
Abstract: This paper presents engine gearbox fault diagnosis based on empirical mode decomposition (EMD) and Na ve Bayes algorithm. In this study, vibration signals from a gear box are acquired with healthy and different simulated faulty conditions of gear and bearing. The vibration signals are decomposed into a finite number of intrinsic mode functions using the EMD method. Decision tree technique (J48 algorithm) is used for important feature selection out of extracted features. Na ve Bayes algorithm is applied as a fault classifier to know the status of an engine. The experimental result (classification accuracy 98.88%) demonstrates that the proposed approach is an effective method for engine fault diagnosis. 2017, Indian Academy of Sciences.
URI: http://idr.nitk.ac.in/jspui/handle/123456789/11460
Appears in Collections:1. Journal Articles

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