Shaft angular misalignment detection using acoustic emission

•The possibility of shaft angular misalignment detection using AE is proposed and it is compared with vibration analysis.•The impact of different operational conditions (load and speed) on the AE and vibration signature is investigated.•The results show that AE provide enhancements over vibration on...

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Bibliographic Details
Published in:Applied acoustics 2014-11, Vol.85, p.12-22
Main Authors: Ferrando Chacon, Juan Luis, Artigao Andicoberry, Estefania, Kappatos, Vassilios, Asfis, Georgios, Gan, Tat-Hean, Balachandran, Wamadeva
Format: Article
Language:English
Subjects:
Acoustic emission
Applied sciences
Drives
Exact sciences and technology
Fault detection
Mechanical engineering. Machine design
Misalignment
Rotating machinery
Shafts, couplings, clutches, brakes
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Summary:•The possibility of shaft angular misalignment detection using AE is proposed and it is compared with vibration analysis.•The impact of different operational conditions (load and speed) on the AE and vibration signature is investigated.•The results show that AE provide enhancements over vibration on misalignment detection.•AE technique can be used as a reliable technique for angular misalignment detection. Shaft angular misalignment (SAM) is a common and crucial problem in rotating machinery. Misalignment can produce several shortcomings such as premature bearing failure, increase in energy consumption, excessive seal lubricant leakage and coupling failure. Vibration analysis has been traditionally used to detect SAM; however, it presents some drawbacks i.e. high influence of machine operational conditions and strong impact of the coupling type and stiffness on vibration spectra. This paper presents an extensive experimental investigation in order to evaluate the possibility of detecting SAM, using acoustic emission (AE) technique. The test rig was operated at under different operational conditions of load and speed in order to evaluate the impact on the AE and vibration signature under normal operating conditions. To the best of the author’s knowledge, this is the first attempt to use AE for the detection of SAM under varying operational conditions. A comparative study of vibration and AE was carried out to demonstrate the potentially better performance of AE. The experimental results show that AE technique can be used as a reliable technique for SAM detection, providing enhancements over vibration analysis.
ISSN:0003-682X
1872-910X
DOI:10.1016/j.apacoust.2014.03.018