Fault diagnosis in rotating machinery using pattern recognition technique / Nor Azlan Othman, Nor Salwa Damanhuri and Visakan Kadirkamanathan

UNSPECIFIED (2009) Fault diagnosis in rotating machinery using pattern recognition technique / Nor Azlan Othman, Nor Salwa Damanhuri and Visakan Kadirkamanathan. Esteem Academic Journal, 5 (1). pp. 125-143. ISSN 1675-7939

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Abstract

This paper presents a detail review of fault diagnosis in rotating machinery. Pattern recognition technique which needs three mean steps of fault diagnosis -feature extraction, dimensionality reduction and fault classification – was used. This paper focuses on the faulty bearing which is mainly caused by mass imbalance and axis misalignment. By analyzing the vibration signal obtained from the test rigs (rigs that are built to demonstrate the effect of faults in rotating machinery), it gives solid information concerning any faults within the rotating machinery.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery > Machinery exclusive of prime movers
Divisions: Universiti Teknologi MARA, Pulau Pinang
Journal or Publication Title: Esteem Academic Journal
ISSN: 1675-7939
Volume: 5
Number: 1
Page Range: pp. 125-143
Item ID: 16297
Uncontrolled Keywords: Bearing fault, mass imbalance, misalignment, fault diagnosis, pattern recognition technique
Last Modified: 20 Mar 2017 03:45
Depositing User: Staf Pendigitalan 5
URI: http://ir.uitm.edu.my/id/eprint/16297

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