Richard Vilim

Section Manager, Plant Analysis and Control Section
- Nuclear Engineering

Richard Vilim is an expert in diagnostics, instrumentation and control, with over 30 years experience developing new applications for the process and power industries.

His ongoing research focuses on sensor degradation: its detection and prediction using data-driven algorithms and computational materials science for improved process performance and safety. His research also includes the development of automated reasoning methods for the detection and identification of equipment failures, accompanied by the use of fast-acting computer-based control algorithms, to reconfigure a plant in response to a fault in order to avert costly and unsafe process disruption.

Vilim’s work involves the development of models, algorithms, and methods for application to energy and radiation systems. Examples include signal-processing methods for tracking of nuclear materials, fault detection and diagnosis in thermofluid systems and development of fault-tolerant sensor systems for improving process plant reliability. In his lab, he and his colleagues investigate fundamental phenomena related to radiation detector behavior and test the performance of advanced integrated radiation-sensing systems.

Vilim has over 160 publications and nine US patents and applications. He is one of four Argonne inventors whose patents formed the intellectual property basis for Smart Signal Corporation, a technology startup company with revenues of $30M, recently acquired by General Electric.

Publications & Patents

  • “Tracking of Moving Radioactive Sources,” U.S. Patent 7,465,924
  • “System for Monitoring an Industrial or Biological Process,” U.S. Patent 5,774,379
  • “Neural Network Based System for Equipment Surveillance,” U.S. Patent 5,745,382
  • “Statistically Qualified Neuro-Analytic Failure Detection Methods and System,” U.S. Patent 6,353,815
  • R.B. Vilim, A.M. Heifetz, Y.S. Park, and J. Choi, “Description of Fault Detection and Identification Algorithms for Sensor and Equipment Failures and Preliminary Tests Using Simulations,” ANL/NE-12/57, Argonne National Laboratory November 30, 2012.
  • R.B. Vilim, A.M. Heifetz, D. Yun, and L. Yacout, “Description of Algorithms for Detecting Sensor Degradation and Preliminary Tests Using Simulations,” ANL/NE-13-2, Argonne National Laboratory, February 1, 2013.
  • R.B. Vilim and R. Klann, “RadTrac – A System for Detecting, Localizing, and Tracking Radioactive Sources in Real-Time,” Nuclear Technology, January 2009.
  • R.B. Vilim, J. Thomas, and R. Klann, “Integrated Treatment of Detector Arrays for Source Tracking,” Nuclear Technology, Vol. 175, No. 1, pp. 314-325, July 2011.
  • R.B. Vilim, “Validation of a Radial-Inflow Turbine Model for Super-Critical CO2 Applications,” 2012 International Conference on Advances in Nuclear Power Plants (ICAPP'12), Chicago, USA, June 24-28, 2012.
  • D. Yun, A.M. Yacout and R.B. Vilim, “Modeling the Aging Effects of Nuclear Power Plant Resistance Temperature Detectors,” 8th International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies (NPIC&HMIT 2012), San Diego, USA, July 22-26, 2012.
  • R.B. Vilim, A.M. Yacout and D. Yun, “Improved Sensor Performance through Advanced Materials Modeling,” 8th International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies (NPIC&HMIT 2012), San Diego, USA, July 22-26, 2012.
  • R.B. Vilim, “System and Method for Highly Autonomous Operation of a Modular Liquid-Metal Reactor with Steam Cycle,” patent application, filed U.S. Patent Office, 2009.
  • N.A. Carstens, R.B. Vilim, P. Hejzlar, M.J. Driscoll, “Development of a Dynamic Simulation and Control Code for Supercritical CO2 Power Conversion Systems,” 2008 International Conference on Advances in Nuclear Power Plants (ICAPP'08), Anaheim, CA, June 8-12, 2008.