Technical Library

The overwhelming majority of the technology components embedded in our solutions is protected through trade secrets. Some relevant publications that have been the precursors to this technology development follow:

Relevant Publications

  1. Kim, K., and A. G. Parlos, “Induction Motor Fault Diagnosis Based on Neuro-predictors and Wavelet Signal Processing,” IEEE/ASME Transactions on Mechatronics, Vol. 7, No. 2, pp. 201-219, June 2002 (pdf).
  2. Kim, K., and A. G. Parlos, “Model-Based Fault Diagnosis of Induction Motors Using Non-Stationary Signal Segmentation,” Mechanical Systems and Signal Processing, Vol. 26, No. 2-3, pp. 223-253, 2002 (pdf).
  3. Kim. K., and A. G. Parlos, “Reducing the Impact of False Alarms in Induction Motor Fault Diagnosis,” Journal of Dynamic Systems, Measurement and Control, Vol. 125, No. 1, pp. 80-95, 2003 (pdf).
  4. Kim. K., A. G. Parlos, and R. M. Bharadwaj, “Sensorless Fault Diagnosis of Induction Motors,” IEEE Transactions on Industrial Electronics, Vol. 50, No. 5, pp. 1038-1051, 2003 (pdf).
  5. Parlos, A. G., Kim, K. and Bharadwaj, R., “Sensorless Detection of Mechanical Faults in Electromechanical Systems,” Mechatronics, Vol. 13, pp. 357-380, 2004 (pdf).
  6. Bharadwaj, R. M., and A. G. Parlos, “Neural Speed Filtering for Induction Motors with Anomalies and Incipient Faults,” IEEE/ASME Transactions on Mechatronics, Vol. 9, No. 4, pp. 679-688, December 2004 (pdf).

Relevant Patents

  1. “Method and System for Early Detection of Incipient Faults in Electric Motors,” U.S. Patent No. 6,590,362, July 8, 2003 (pdf).
  2. “Method and System for Determining Induction Motor Speed,” U.S. Patent No. 6,713,978, April 15, 2004 (pdf).
  3. “Condition Assessment and Life Expectancy Prediction for Devices,” U.S. Patent No. 7,024,335, April 4, 2006 (pdf).