A study of motor bearing vibration using statistical analysis techniques

Shah Rydzuan, Muhamad Izwan (2022) A study of motor bearing vibration using statistical analysis techniques. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Bearings are one of the important elements in engineering machinery such as those used in electric motors. Bearings can also be a cause of failure on electric motors. This study presents the relationship between vibration and bearings on electric motors. This experimentaJ procedure was carried out using vibration applications to analyse the vibrations on bearings. Data acquisition involves vibration signals recorded by acceleration sensors. The vibration signal generated through the dynan1ic response by the electric motor was analysed using Fast Fourier Transformation (FFT). All recorded data were filtered using the to obtain valid data. The data obtained from the experiments were analysed using statistical analysis methods to make interpretations of the data. As a result, correlation verification has been performed and the Root Mean Square (RMS) has indicated that the source of the resulting vibration is from the bearing. The correlation process has proven that it can be used as a standard to identify fault bearing vibrations through statistical analysis which is a non -destructive and more efficient method.

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