Signal detection for centrifugal pump using signal analysis of data acquisition

Che Hamdan, Muhammad Arif Farhan (2023) Signal detection for centrifugal pump using signal analysis of data acquisition. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The continuously increasing industrial productivity has resulted in a great breakthrough in the field of maintenance on centrifugal pumps in order to ensure their optimum operation under different operating conditions such as industry and cover a significant percentage of the total energy consumption of a power plant. This fact makes the application of efficient maintenance tools to be of crucial importance and obliges researchers and engineers to develop reliable detection methods for special types of malfunctions, such as cavitation to date, there is limited published information on the application of sound detection to incipient centrifugal failure. The importance of this research is to analyse signal detection for centrifugal pumps using signal analysis of data acquisition using microphone and software analysis. Then, another important thing is identifying the signal behaviour between the sound and vibration condition of the centrifugal pump and comparing the vibrational signal with the sound signal for sound signal reliabilities. In this research, a sample of a centrifugal pump will analyse with a microphone and obtain a sound signal. The analysis obtains the global statistical parameter and signal processing method. The global statistical parameter that uses is kurtosis, skewness, standard deviation, Root Mean Square and crest factor. The signal processing method involves being time domain, frequency domain, and I-Kaz coefficient. This result research will support the advantage of the analysis in the centrifugal pump industry.

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