Fault diagnosis of helical gear box using variational mode decomposition and J48 algorithm
by Akhil Muralidharan; V. Sugumaran; K.P. Soman; M. Amarnath
International Journal of Decision Support Systems (IJDSS), Vol. 1, No. 4, 2015

Abstract: A faulty gear affects the functionality of the machine. Thus, it is necessary to diagnose the faults at an initial stage so as to reduce the losses incurred. Vibration signals contain dynamic information about the health condition of a rotating machine. Many researches are based on FFT and have its own drawback with non-stationary signals like the ones from gears. Hence, there is a need for development of new methodologies to infer diagnostic information from such signals. The vibrations produced by gears from good and simulated faulty conditions can be used to detect the faults in these gears. In the present study, variational mode decomposition (VMD) was used as a new signal pre-processing technique along with decision trees which have provided good classification performance. The technique decomposes the signals into various modes by identifying a compact frequency support around its central frequency, such that adding all the modes reconstructs the original signal. Descriptive statistical features were extracted from VMD processed signals. J48 decision tree algorithm was used to identify the useful features and the selected features were classified using the decision trees namely, J48, random tree and decision stump algorithm. The performance analyses of various algorithms are discussed in detail.

Online publication date: Thu, 04-Feb-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Decision Support Systems (IJDSS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com