Detection of Inter-Turn and Dynamic Eccentricity Faults Using Stator Current Frequency Pattern in IPM-Type BLDC Motors

Research of influence of open-winding faults on properties of brushless permanent magnets motor

“…A diagnostics of fault states can be conducted through FFT analysis e.g. of source current ( Figure 6) as it was proposed in [10,11]. Figure 8 shows a laboratory setup.…”

“…In case of failures in a machine, windings short circuits or winding opencircuits can occur [6][7][8][9][10][11]. In drives for aircraft applications, higher reliability as well as a possibility of further operation after fault is required [7,8].…”

Stator Interturn Fault Detection in Permanent-Magnet Machines Using PWM Ripple Current Measurement

“…Detection schemes [13], [14] are broadly divided into fundamental quantity based [15]- [21] detection, high frequency based [22]- [24] detection and motor current signature analysis (MCSA) [25]- [27]. Most of the methods [22] is improved further by using lookup table based calibration of the dq high frequency signal to reduce effect of magnetic saliency induced by load variation from affecting the detection.…”

Analysis of Vibrations in Interior Permanent Magnet Synchronous Motors Considering Air-Gap Deformation

“…The former is much more common and includes three types: static, dynamic, and mixed eccentricity [13]. It has been concluded that stator current is the most commonly monitored signal for fault diagnosis because it is easily monitored without sensors [14]. Ebrahimi, B. M. et al have introduced the new index based on the decomposition wavelet transform of the stator current to analyze their relations to static and dynamic eccentricity fault and identify the eccentricity type and estimating its degree [15].…”