Fault diagnosis of bearings through vibration signal using Bayes classifiers

Author： Kumar Hemantha   Kumar T.A. Ranjit   Amarnath M.   Sugumaran V.  

Publisher： Inderscience Publishers

ISSN： 1757-2657

Source： International Journal of Computer Aided Engineering and Technology, Vol.6, Iss.1, 2014-11, pp. : 14-28

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Vibration signal analysis for electrical fault detection of induction machine using neural networks

By Su Hua  

Neural Computing & Applications, Vol. 20, Iss. 2, 2011-03 ,pp. : 183-194

Springer Publishing Company

Access to resources Recommend Favorite

Vibration-based fault diagnosis of a rotor bearing system using artificial neural network and support vector machine

By Kankar Pavan Kumar   Sharma Satish C.   Harsha Suraj Prakash  

International Journal of Modelling, Identification and Control, Vol. 15, Iss. 3, 2012-02 ,pp. : 185-198

Inderscience Publishers

Access to resources Recommend Favorite

Fault detection in sensors by using multiresolution signal decomposition

By Mohanty Subrat Kumar   Mahalik N.P.  

International Journal of Intelligent Systems Technologies and Applications, Vol. 2, Iss. 4, 2007-06 ,pp. : 416-426

Inderscience Publishers

Access to resources Recommend Favorite

New Developments Using AI in Fault Diagnosis

By Frank P.M.   Koppen-Seliger B.  

Engineering Applications of Artificial Intelligence, Vol. 10, Iss. 1, 1997-02 ,pp. : 3-14

Elsevier

Access to resources Recommend Favorite

Fault diagnosis system for a robot manipulator through neuro fuzzy approach

By Anand M. Dev   Selvaraj T.   Kumanan S.   Janarthanan J.  

International Journal of Modelling, Identification and Control, Vol. 3, Iss. 2, 2008-07 ,pp. : 181-192

Inderscience Publishers

Access to resources Recommend Favorite