Line start permanent magnet synchronous motor (LSPMSM) is used in many applications in industrial environments such as belt systems and fan systems due to its high efficiency, high power factor and self-starting features. Early detection of LSPMSM failures will eliminate production losses and high maintenance and repair costs. In this study, SCADA-based online condition monitoring and fault detection method is proposed for detecting bearing failures of LSPMSM. For this purpose, SCADA based condition monitoring automation was carried out primarily to monitor motor current and voltage data. The normal operating limits of the motor were determined by analyzing the current signals monitored under different speed and load conditions from a healthy LSPMSM with an exponential weighted moving average (EWMA) based statistical process control method. Then, fault detection was made according to the exceeding of these limits by using EWMA data of the current signals of a the LSPMSM in case of faulthy. The obtained results showed that the designed SCADA automation has the ability to collect and save data safely, and the proposed fault detection method is a successful tool for the detection of bearing failures of LSPMSM.
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