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Development of acoustic emission diagnostic system for condition monitoring of rotating machines

N., Saad and M.A.A., Elmaleeh (2008) Development of acoustic emission diagnostic system for condition monitoring of rotating machines. In: 2008 IEEE 2nd International Power and Energy Conference, PECon 2008, 1 December 2008 through 3 December 2008, Johor Baharu.

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Abstract

Numerous condition monitoring (CM) techniques and identification algorithms for detection and diagnosis of rotating machinery faults have been proposed for the past few years. Bearing are the common used elements in almost all rotating machinery. It causes the machine failure upon getting faulty. Therefore advance and effective inspection techniques are required to monitor and detect the bearing problems at incipient stages. This avoids catastrophic machine failure and costly unplanned shutdown. In this paper the acoustic emission (AE) monitoring system is established. It discusses a method based on time and frequency domain analysis of AE signals acquired from bearings assembly. A real time measurement system is developed. It utilizes LabVIEW to process and analyze the data to provide valuable information regarding the process being monitored. ©2008 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Acoustic emission testing; Acoustic emissions; Acoustics; Bearings (structural); Failure (mechanical); Frequency domain analysis; Rotating machinery; Rotation; Time domain analysis; Time measurement; Acoustic emission diagnostics; AE signals; Detection and diagnosis; Frequency domains; Identification algorithms; Inspection techniques; LabView; Machine failures; Monitoring systems; On time; Real-time measurements; Rotating machines; Unplanned shutdowns; Condition monitoring
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:437
Deposited By: Assoc Prof Dr Nordin Saad
Deposited On:09 Mar 2010 01:59
Last Modified:19 Jan 2017 08:26

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