Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4962689 | Simulation Modelling Practice and Theory | 2017 | 22 Pages |
Abstract
This diagnosis method of accelerometer time series analysis based on an Auto Regressive and Moving Average (ARMA) method has been used to determine the pump failure. The diagnosis results have demonstrated the ability of the proposed mathematical technique in the identification of cavitation phenomena proving that the proposed approach is a useful methodology to detect the presence of fault. The approach can predict, with good accuracy, pump failure in real time operation. In addition, a threshold vibration level in decibel scale is also fixed.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Dario Buono, Daniela Siano, Emma Frosina, Adolfo Senatore,