| Autor: |
Salah M. Ali, K.H. Hui, L.M. Hee, M. Salman Leong, Ahmed M. Abdelrhman, Mahdi A. Al-Obaidi |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Ain Shams Engineering Journal, Vol 10, Iss 2, Pp 253-265 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2090-4479 |
| DOI: |
10.1016/j.asej.2019.01.003 |
| Popis: |
Acoustic Emission (AE) technology is probably one of the most recent entries in the field of machinery condition monitoring. This paper investigates the application of AE parameters for valve faults detection in reciprocating compressor. The defective valves were designed by emulating the actual valve corrosion with varying sizes such that defects could be applied onto the reciprocating compressor. A set of experiments was performed to acquire the AE signal. The primary source of AE signal was verified using waveform analysis. The AE parameters versus different operational and valve condition were illustrated individually. In addition, the significance of the change and sensitivity of AE parameters versus different experimental conditions was verified using MANOVA and coefficient of variance analysis. It is concluded that the AE signal parameters can be used to detect the valve faults in the reciprocating compressor with the consideration of the variation in the AE parameters sensitivity. Keywords: Reciprocating compressor, Valve fault detection, Acoustic emission parameters, MANOVA, Coefficient of variance |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
