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      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/042/07/1143-1153

    • Keywords

       

      Engine fault diagnosis; empirical mode decomposition; decision tree technique; Naı¨ve Bayes

    • Abstract

       

      This paper presents engine gearbox fault diagnosis based on empirical mode decomposition (EMD) and Naı¨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. Naı¨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.

    • Author Affiliations

       

      KIRAN VERNEKAR HEMANTHA KUMAR1 K V GANGADHARAN

      1. Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore 575025, India
    • Dates

       

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