Abstract
High-efficiency motors are being gradually introduced in many industrial applications because of their positive impacts on the environment by reducing energy consumption and CO2 emission. In this respect, line start permanent magnet synchronous motors (LS-PMSMs) have been introduced recently. Due to their unique configuration, LS-PMSMs allow the obtaining of super premium efficiency levels, accompanied with a high torque and power factor. However, since the use of LS-PMSMs in the industry is in its infancy, no efficient scheme has yet been reported for broken rotor bar (BRB) fault detection in this type of motor. Accordingly, the main aim of this research is to investigate the fault-related feature for BRB faults on LS-PMSMs. In this regard, a simulation model and experimental setup for the investigation of BRB in LS-PMSM are implemented. The detection strategy for BRB in LS-PMSM proposed here is based on the monitoring of the start-up current signal and discrete wavelet transform. The entropy features are used as fault-related features for BRB faults. Finally, the ability of these features is validated for the detection of BRB in LS-PMSM through statistical analysis. In this research, the importance of the starting load is also considered for BRB detection in LS-PMSMs.
Highlights
Induction machines that facilitate the production processes and related services lead to enormous changes in human lifestyles
The technique proposed here is well-suited for broken rotor bar (BRB) detection in synchronous motors that start with a squirrel cage
The reason is that these electrical machines carry significant currents during the transient state, and it is difficult to diagnose the failure based on the monitoring of the conventional steady-state current
Summary
Induction machines that facilitate the production processes and related services lead to enormous changes in human lifestyles. Reliability of condition of any fault detection system with is precise condition monitoring It canThe be realized from the monitoring techniques depends upon the best understanding of motor characteristics, including name that condition monitoring is an act designed to observe the performance of a device, including electrical and mechanical characteristics, in both healthy and faulty conditions. In this respect, electric machines, with the purpose of a maintenance strategy. Monitoring [9]; Power [11]; Instantaneous Angular Speed [10]; Motor Circuit Analysis [12]; Thermal [13]; Vibration [14]; Thermal [13]; Voltage [15]
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