Publications

  • IEEE Std. 3006.5™-2014, IEEE Recommended Practice for the Use of Probability Methods for Conducting a Reliability Analysis of Industrial and Commercial Power Systems, IEEE 3006 Standards: Power Systems Reliability, The Institute of Electrical and Electronics Engineers, Inc., 3 Park Avenue, New York, NY 10016-5997, USA, February 17, 2015.
  • M. Pourali, Incorporating Common Cause Failures in Mission Critical Facilities Reliability Analysis, IEEE Transactions on Industry Applications, July/August 2014.
  • M. Pourali and A. Mosleh, A Bayesian Methodology for Power Plant Online System Health Monitoring, Transactions of the American Nuclear Society, Vol. 109, Washington, D.C., November 10–14, 2013.
  • M. Pourali and A. Mosleh, A Functional Sensor Placement Optimization Method for Power Systems Health Monitoring, IEEE Transactions on Industry Applications, Vol. 49, NO. 4, July/August 2013.
  • M. Pourali and A. Mosleh, A Bayesian Approach to Sensor Placement Optimization and System Reliability Monitoring, Proceedings of the Institution of Mechanical Engineers (IMechE), Part O: Journal of Risk and Reliability, 227(3) 327-347, May 20, 2013.
  • M. Pourali and A. Mosleh, A Bayesian Approach to Online System Health Monitoring, Reliability and Maintainability Annual Symposium – RAMS 2013, pages: 210 – 215, 2013.
  • M. Pourali and A. Mosleh, Application of Bayesian Sensor Placement Optimization for Real-Time Health Monitoring, 2012 ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2012), Chicago, Illinois, USA, 2012.
  • M. Pourali and A. Mosleh, A Bayesian Approach to Functional Sensor Placement Optimization for System Health Monitoring, 2012 IEEE International Conference on Prognostics and Health Management (PHM), Denver, Colorado, USA, 2012.
  • M. Pourali and A. Mosleh, A Bayesian Belief Network Method of Sensor Placement Optimization for System Reliability Monitoring, International Association for Probabilistic Safety Assessment and Management, PSAM 11, Helsinki, Finland, 2012.
  • M. Pourali, Application of Plasma Gasification Technology in Waste to Energy — Challenges and Opportunities, IEEE Transactions on Sustainable Energy, Volume: 1, Issue: 3, pages: 125 – 130, 2010.
  • M. Pourali, The Supremacy of Embedded Redundancy over Redundancy at System Level in Mission Critical Facilities, IEEE Industry Applications Society Annual Meeting, Dallas, Texas, USA, 2009.
  • M. Pourali, Generalized Renewal Theory and its Application in Repairable Systems, University of Maryland, College Park, Maryland, USA, 2006.
  • M. Pourali, Advances in Energy Storage Techniques, Power Quality Conference, Long Beach, California, USA, 2003.
  • M. Pourali, Synchronizing Multiple UPS Systems in Data Centers, Power Quality Magazine, February 2000.
  • M. Pourali, Quality Power for Sensitive Loads, Wright State University, Dayton, Ohio, 1999.
  • M. Pourali and S.M.T. Nabavi, Applying Artificial Neural Network in Power Systems, 1992.