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

Elmaleeh, M.A.A. and Saad, N. (2008) Development of acoustic emission diagnostic system for condition monitoring of rotating machines. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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 (UNSPECIFIED)
Additional Information: cited By 8; Conference of 2008 IEEE 2nd International Power and Energy Conference, PECon 2008 ; Conference Date: 1 December 2008 Through 3 December 2008; Conference Code:75682
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
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:16
Last Modified: 09 Nov 2023 15:16
URI: https://khub.utp.edu.my/scholars/id/eprint/388

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