Abstract
Pumps performance and design can be detected through vibration signature comparison, which can detect malfunction and poor design aspects. In order to understand the vibration signature, there is a need to implement well-known techniques to obtain the required information. The most popular technique is Fourier Transform (FT). However, this technique and another frequency related technique focus on obtaining the frequency components and this is well accepted for stationery signatures. In condition monitoring process, it is very important to identify both the frequency and the time of occurrence, which is the nature of the transient signature. The most recent technique in identifying the useful information of transient signals is the Wavelet Analysis. In this study, the signals of healthy and defective control systems of the variable displacement pump are recorded and analyzed by using Wavelet Analysis. The study confirms the ability to apply the wavelet analysis in detecting the variable displacement pumps’ defects.
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Chikhalsouk, M., Esakki, B., Zhouri, K., Nmir, Y. (2020). Discrete Wavelet Transform Application in Variable Displacement Pumps Condition Monitoring. In: Madureira, A., Abraham, A., Gandhi, N., Silva, C., Antunes, M. (eds) Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018). SoCPaR 2018. Advances in Intelligent Systems and Computing, vol 942. Springer, Cham. https://doi.org/10.1007/978-3-030-17065-3_13
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DOI: https://doi.org/10.1007/978-3-030-17065-3_13
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