IJERT-Condition Monitoring of a Dynamic System using Artificial Intelligence (original) (raw)
2021, International Journal of Engineering Research and Technology (IJERT)
https://www.ijert.org/condition-monitoring-of-a-dynamic-system-using-artificial-intelligence https://www.ijert.org/research/condition-monitoring-of-a-dynamic-system-using-artificial-intelligence-IJERTCONV9IS03146.pdf Several machines consist of multiple rotating mechanisms, some of which are very complex and critical for operation. These rotating components give out vibrations during operation. Different components of the machine have different natural frequency of vibration. Here we have considered three source of vibrations-bearing failure, unbalanced mass and misalignment of shaft. If the amplitudes of these vibrations surpass the limiting value, it indicates the abnormal behaviour of the machinery and might cause severe damage. It is essential to identify the source of vibration that lead to failure of machine. An effective diagnostic system is needed to predict the condition and reliable lead time of the machine. In this study, Tri-Axial accelerometer is used to sense vibrations of the machine. If the vibration deviates from the standard value that is the natural frequency of vibration, the transducer measures that and it sends the data to the controller which selects the dominating amplitude and frequency and transmits these data to Artificial Intelligence (AI) code wirelessly using Ethernet. These received data is processed by Naïve Bayes Algorithm which uses probabilistic approach to predict the exact source of vibration.
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.