Brake fault diagnosis using Clonal Selection Classification Algorithm (CSCA) – A statistical learning approach-Reference-Cited by-同舟云学术

Brake fault diagnosis using Clonal Selection Classification Algorithm (CSCA) – A statistical learning approach

Published:2015-03 Issue:1 Volume:18 Page:14-23
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Jegadeeshwaran R.^ORCID,Sugumaran V.

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference21 articles.

1. Richard John Miller, Ross John Marshall, David Alexander Bailey, Nicholas Charles Griffin, Brake condition monitoring, U.S. Pat No. US 0011596A1, 2004.

2. Erich Reinecke, Apparatus for the measurement and/or of a braking torque, U.S pat No 4790606, 1988.

3. Vibration based fault diagnosis of monoblock centrifugal pump using decision tree;Sakthivel;Expert Syst. Appl.,2010

4. Machinery Faults Detection Using Acoustic Emission Signal;Gu,2011

5. A system for fault diagnosis in electronic circuits using thermal imaging;Allred,1992

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