A Sample of Recent Publications


Sample Journal Publications

  • Parlos, A.G., Muthusami, J., and Atiya, A. F., "Incipient Fault Detection and Identification in Process Systems using Accelerated Neural Networks Learning," Nuclear Technology, Vol. 105, No. 2, pp. 145-161, 1994.
  • Parlos, A. G., Chong, K. T., and Atiya, A. F., "Application of the Recurrent Multilayer Perceptron in Modeling Complex Process Dynamics," IEEE Transactions on Neural Networks, Special Issue on Dynamic Recurrent Neural Networks: Theory and Applications, Vol. 5, No. 2, pp. 255-266, 1994 (pdf).
  • Parlos, A.G., Muthusami, J., Atiya, A., Tsai, W.K., and Fernandez, B., "An Accelerated Learning Algorithm for Backpropagation Networks," IEEE Transactions on Neural Networks, Vol. 5, No. 3, pp. 493-497, 1994 (pdf).
  • Atiya, A., and Parlos, A.G., "Identification of Nonlinear Dynamics Using a General Spatio-Temporal Network," Journal of Mathematical and Computer Modeling, Vol. 21, No. 1/2, pp. 53-71, 1995 (pdf).
  • Toliyat, H., M. S. Arefeen, and A. G. Parlos, "A Method for Dynamic Simulation of Air-Gap Eccentricity in Induction Machines," IEEE Transactions on Industry Applications, Vol. 32, No. 4, pp. 910-918, 1996 (pdf.).
  • Atiya, A., and Parlos, A. G., "New Results on Recurrent Network Training: Unifying the Algorithms and Accelerating Convergence," IEEE Transactions on Neural Networks, Vol. 11, pp. 697-709, 2000 (pdf).
  • Rais, O. and Parlos, A.G., "Nonlinear Control of U-tube Steam Generators via H-infinity Control," Control Engineering Practice, Vol. 8, pp. 921-936, 2000 (pdf).
  • Parlos, A. G., Rais, O., and Atiya, A. F., "Multi-Step-Ahead Prediction in Complex Process Systems Using Dynamic Recurrent Neural Networks," Neural Networks, Vol. 13, No. 7, pp 765-786, 2000 (pdf).
  • Parlos, A.G., Parthasarathy, S., Atiya A., "Neuro-Predictive Process Control Using On-Line Controller Adaptation," IEEE Transaction on Control Systems Technology, Vol. 9, No. 5, pp. 741-755, 2000 (pdf).
  • Parlos, A. G., Menon, S. K., and Atiya, A. F., "Adaptive State Filtering in Complex Systems Using Recurrent Neural Networks," IEEE Transactions on Neural Networks, Vol. 12, No. 6, pp. 1411-1432 (pdf).
  • 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).
  • Parlos, A. G., Menon, S. K., and Atiya, A. F., "An Adaptive State Filtering Algorithm for Systems with Partially Known Dynamics," Journal of Dynamic Systems, Measurement and Control, Vol. 124, No. 3, pp. 364-374, 2002 (pdf).
  • Kim, K., and A. G. Parlos, "Model-Based Fault Diagnosis of Induction Motors Using Non-Stationary Signal Segmentation," Mechanical Systems and Signal Processing, Vol. 16, No. 2-3, pp. 223-253, 2002 (pdf).
  • Parlos, A.G., W. K. Tsai and J. W. Sunkel, "Robust Controller Design for a Space Station Using Ellipsoidal Set-Theoretic Bounds," Control Engineering Practice, Vol. 10, pp. 1179-1197, 2002 (pdf).
  • Bharadwaj, R. M., and A. G. Parlos, "Neural State Filtering for Adaptive Induction Motor Speed Estimation," Mechanical Systems and Signal Processing, Vol. 17, No. 5, pp. 903-924, 2003 (pdf).
  • 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).
  • 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).
  • William, R. B., and A. G. Parlos, "Adaptive State Filtering for Space Shuttle Main Engine Turbine Health Monitoring," Journal of Spacecraft and Rockets, October 2002.
  • Bhattacharyya, A., A. G. Parlos, and A. F. Atiya, “Prediction of MPEG-coded Video Source Traffic Using Recurrent Neural Networks,” IEEE Transactions on Signal Processing, Special Issue in Networking, Vol. 51, No. 8, pp. 2177-2190, 2003  (pdf).
  • Bharadwaj, R. M., A. G. Parlos, “Neural Speed Filtering for Sensorless Induction Motor Drives,” to appear in Control Engineering Practice, December 2003.
  • Parlos, A. G., Kim, K. and Bharadwaj, R., “Sensorless Detection of Mechanical Faults in Electromechanical Systems,” Mechatronics, Vol. 13, pp. 357-380, 2004 (pdf).
  • Lim, H.-S.,  K. T. Chong, and A. G. Parlos, “Development of a Model-based Motor Fault Detection System Using Vibration Signal,” Journal of Control, Automation and Systems Engineering, Vol. 9, No. 11, pp. 874-882, 2003 (pdf).
  • Chang, W., K. T. Chong, and A. G. Parlos, “Dynamic Load Balancing of Consistent Hashing Web Cache Servers,” Asian Journal of Information Technology, Vol. 3, No. 2, pp. 115-127, February 2004.
  • Bharadwaj, R. M., A. G. Parlos, and H. A. Toliyat, “Neural Speed Filtering for Induction Motors with Anomalies and Incipient Failures,” to appear in the IEEE/ASME Transactions on Mechatronics, January 2004.

Conference Publications

  • Chong, K. T. and Parlos, A. G., "Comparison of the Traditional and the Neural Networks Approaches in a Stochastic Nonlinear System Identification," Proc. of the American Control Conf., Albuquerque, NM, June 1997.
  • Nandi, S., Toliyat, H. A., and Parlos, A. G., "Performance Analysis of a Single-Phase Induction Motor Under Eccentric Conditions," Proc. of the IEEE Conference of Industry Applications, New Orleans, LA, Oct. 5-9, 1997, pp. 174-181.
  • Atiya A., and Parlos, A. G., "An Accelerated Recurrent Network Training Algorithm," Proc. of the 1998 IEEE World Congress on Computational Intelligence, Anchorage, AK, May 4-9, 1998.
  • Nandi, S., Bharadwaj, R, Toliyat, H. A., and Parlos, A.G., "Performance Analysis of a 3-Phase Induction Motor Under Mixed Eccentricity Conditions," Second International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth, Perth, Australia, November 30 – December 3, 1998, pp. 123-128.
  • Bharadwaj, R, A. G. Parlos, H. A. Toliyat, and S. K. Menon, "A Neural Network-based Speed Filter for Induction Motors: Adapting to Motor Load Changes," Proc. of the International Joint Conference on Neural Networks, Washington, D.C., June, 1999.
  • A. G. Parlos, S. K. Menon, and A. F. Atiya, "Adaptive State Estimation Using Dynamic Recurrent Neural Networks," Proc. of the International Joint Conference on Neural Networks, Washington, D.C., June, 1999.
  • A. G. Parlos, O. T. Rais, and A. F. Atiya, "Multi-Step-Ahead Prediction Using Dynamic Recurrent Neural Networks," Proc. of the International Joint Conference on Neural Networks, Washington, D.C., June, 1999.
  • Bharadwaj, R, A. G. Parlos, H. A. Toliyat, and S. Nandi, "A Neural Network-based Speed Filter for Induction Motors: Adapting to Motor Condition Changes," to be presented at the IEEE International Conference on Diagnostics for Electrical Machines, Power Electronics, and Drives, Dijon, Spain, September, 1-3, 1999.
  • Nandi, S, R. Bharadwaj, H. A. Toliyat, and A. G. Parlos, "Simulation of a Three Phase Induction Motor with Incipient Rotor Cage Faults,""to be presented at the IEEE International Conference on Diagnostics for Electrical Machines, Power Electronics, and Drives, Dijon, Spain, September, 1-3, 1999.
  • Bharadwaj, R, A. G. Parlos, and H. A. Toliyat, "Adaptive Neural Networks-Based State Filter for Induction Motor Speed Estimation," to be presented in the 1999 IEEE Industrial Electronics Society Annual Meeting, San Jose, CA, December 1999.
  • Muthusami, J., Parlos, A.G., Pandey, R. K., and Howze, J. W., "Control-relevant Modeling of the Czockralski Single Crystal Growth Process Using Neural Networks," to be presented at the 2000 American Control Conference, Chicago, IL, June 2000.
  • Parlos, A.G., Parthasarathy, S., and Atiya, A. F., "Neuro-predictive Process Control Using On-Line Controller Adaptation," to be presented at the 2000 American Control Conference, Chicago, IL, June 2000.
  • Menon, S., Parlos, A. G., and Atiya, A.F., "Nonlinear State Filtering for Fault Diagnosis and Prognosis in Complex Systems Using Recurrent Neural Networks," submitted to 4th Symposium on Fault Detection, Supervision and Safety for Technical Processes, IFAC SAFEPROCESS 2000, Budapest, Hungary, June 2000.
  • Kim, K., and Parlos, A. G., "Model-based Fault Diagnosis of Electromechanical Systems Using Dynamic Recurrent Neural Networks," submitted to the 7th Mechatronics Forum International Conference, Atlanta, Georgia, September 2000.
  • Parlos, A. G. and Kim, K., "An Early Warning System for Detecting Incipient Electric Machine Failures," COMADEM 2000 World Congress, Houston, Texas, December 2000.
  • Parlos, A. G. and Kim, K., "Development and Experimental Demonstration of a Model-based Fault Detection System for Electromechanical Systems," submitted to the 2001 American Control Conference, Arlington, Virginia, June 2001.
  • Parlos, A. G., Kim, K., and Bharadwaj, R. M., "Early Detection of Plant Equipment Failures: A Case Study in Just-In-Time Maintenance," submitted to the 2001 ANS Conference, Milwaukee, Wisconsin, June 2001.
  • Parlos, A. G., Kim, K., and Bharadwaj, R. M., "Sensorless Detection of Mechanical Failures: Developments in Smart Rotating Machines," invited paper submitted to the 2001 ASME Design Engineering Technical Conferences, Pittsburgh, PA, September 2001.
  • Parlos, A. G., Menon, S. K., and Atiya, A. F., "State Filtering with Identified Error Dynamics and Dynamic Networks," submitted to the International Joint Conference on Neural Networks, Washington, D.C., July 2001.

Last Modified: January 29, 2004.