TY  - CONF
Y1  - 2008///
SN  - 9781424422876
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-64549141899&doi=10.1109%2fICARCV.2008.4795831&partnerID=40&md5=54c66a491ef287c61e8f0919a3e7db5c
A1  - Elmaleeh, M.A.A.
A1  - Saad, N.B.
EP  - 1970
CY  - Hanoi
AV  - none
N2  - Detection of abnormalities and defects in rotating machinery at incipient stages is of prime importance for industrial plants and equipment. It avoids the occurrence of unplanned down time of the machinery that causes serious damage and costly downtime. Several condition monitoring techniques have been applied to rotating machinery in order to improve the plant reliability and reduce the downtime. This paper aims to investigate the effectiveness of Acoustic Emission (AE) system for incipient detection of faults related to rotating machinery. A system that is developed to provide a test-bed for this concept is described. A real time AE measurement system is developed and tested. The acquired AE signatures are processed and analyzed using LABVIEW. Time and frequency domain analysis are performed to identify the exact faults in the machinery. © 2008 IEEE.
N1  - cited By 3; Conference of 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 ; Conference Date: 17 December 2008 Through 20 December 2008; Conference Code:75841
KW  - Acoustic emission techniques; Down time; Frequency domain; LabVIEW; Measurement systems; Monitoring techniques; Plant reliabilities; Real time; Rotating machines; Test beds; Time domain
KW  -  Acoustic emissions; Acoustics; Computer vision; Condition monitoring; Industrial plants; Maintenance; Robotics; Rotating machinery; Rotation; Time domain analysis
KW  -  Frequency domain analysis
SP  - 1965
TI  - A study of acoustic emission technique on incipient detection of rotating machine faults
ID  - scholars380
ER  -