Abstract
During operation, machines or objects generate vibration and there are unwanted vibrations that will disrupt the overall system, which results in faults such as imbalance, crack, wear, and misalignment. Thus, collecting and analyzing the vibration data has become an effective method in monitoring the condition of an object. There are many instruments to acquire vibration data and techniques to analyse the collected data. In this study, two types of vibration sensors are applied to collect and visualizes the vibration data in real-time, which are SW420 vibration sensors and ADXL345 accelerometers. The sensors are mounted on the rod, which is attached to the motor to determine the effect of the mounting position on the vibration. Then, a threshold value is set to see the reliability of these vibration sensors in detecting faults. Based on the results, mounting the vibration sensor closer to the source of vibration will generate higher vibration and both sensors can successfully detect a fault, set by the threshold values.
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Acknowledgment
We would like to thanks Synvue Sdn Bhd (1236749-D) for insights and feedback of the project development. This work was supported by the Collaborative Research in Engineering, Science, and Technology (CREST) under grant 304/PELECT/6050424/C121.
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Ghazali, M.H.M., Rahiman, W. (2022). Real-Time Vibration Monitoring Using MEMS Vibration Sensors. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_56
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DOI: https://doi.org/10.1007/978-981-16-8129-5_56
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