Embedded FPGA based induction motor monitoring system with speed drive fed using multiple wavelet analysis

Preventive maintenance on machinery is one of the major concerns in industry. Induction motors represent 85% of the total power consumption in the world and several faults related to these motors that increase the power consumption are not easily detected; therefore, periodic fault monitoring is mandatory. There are several techniques for fault detection in induction motors being current analysis the most popular among others. This techniques are focused on the analysis of induction motors that are directly fed by the line and do not consider the induced effects due to speed drives. The novelty of this research is the proposal of a new technique, based on discrete wavelet transform for transient analysis at the motor start, for broken rotor bar detection on induction motors fed in both: directly and with speed drive. The contribution of the present work is the development of a field programmable gate array embedded system implementation of a broken rotor bar on-line monitoring system for a low cost embedded system approach. Results from experimentation show the overall system performance. It is demonstrated that the proposed methodology is efficient to detect the motor faults when directly or speed drive fed.

[1]  Arturo Garcia-Perez,et al.  Special Purpose Multi-processor for On-line Fault Detection on Induction Motors during Steady State , 2007, ReCoSoC.

[2]  B. Singh,et al.  A review of stator fault monitoring techniques of induction motors , 2005, IEEE Transactions on Energy Conversion.

[3]  Alireza Sadeghian,et al.  Current signature analysis of induction motor mechanical faults by wavelet packet decomposition , 2003, IEEE Trans. Ind. Electron..

[4]  W. T. Thomson,et al.  Current signature analysis to detect induction motor faults , 2001 .

[5]  H. Douglas,et al.  Broken rotor bar detection in induction machines with transient operating speeds , 2005, IEEE Transactions on Energy Conversion.

[6]  Mohamed El Hachemi Benbouzid.  A review of induction motors signature analysis as a medium for faults detection , 2000, IEEE Trans. Ind. Electron..

[7]  Manuel A. Duarte-Mermoud,et al.  Fault detection in induction motors using Hilbert and Wavelet transforms , 2007 .

[8]  M. Riera-Guasp,et al.  Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines , 2006, IEEE Transactions on Industry Applications.

[9]  B. Ayhan,et al.  Multiple signature processing-based fault detection schemes for broken rotor bar in induction motors , 2005, IEEE Transactions on Energy Conversion.

[10]  Arturo Garcia-Perez,et al.  Dedicated Special Purpose Multiprocessor System for the Diagnostic of Rotor Bar Breakage on Induction Motors , 2007, ReCoSoC.

[11]  P.G. McLaren,et al.  Reliability improvement and economic benefits of on-line monitoring systems for large induction machines , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.