Reliablity and fault tolerance testing of a nuclear power plant digital rod position indication coil diagnostic system

G. W. Morton, B. D. Shumaker, D. E. McCarter, S. D. Caylor, P. D. Brukiewa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Obsolescence, aging, reliability, and performance issues are driving nuclear facilities to replace conventional analog Instrumentation and Control (I&C) systems with digital technologies. In addition, the designs of the next generation of nuclear reactors, including Small Modular Reactors (SMRs), will incorporate digital I&C for most, if not all, of their safety and non-safety related functions. As part of a research and development (R&D) effort under the auspices of the U.S. Department of Energy (DOE), Analysis and Measurement Services Corporation (AMS) developed a platform to provide automated testing of digital I&C systems and create a standard method of evaluation for reliability assessments. This hands-on R&D effort has produced a Software Reliability Tester (SRT), which is a set of software tools designed to automate the testing of digital I&C systems to measure and quantify how well the system performs under normal operating conditions and in the presence of faults. Furthermore, the SRT provides the foundation for a practical tool to automate verification and validation (V&V) activities and reduce the amount of testing time of digital I&C systems. When combined with its capabilities of integrating both reliability and fault tolerance quantification, the SRT can be used to ensure that digital I&C implementations are both safe and cost-effective for the nuclear industry. This paper describes the application of the SRT with fault injection to automate V&V activities for a new Digital Rod Position Indication (DRPI) coil diagnostic system. The DRPI coil diagnostic system is a digital system that monitors the DRPI coil voltages of typical DRPI systems in nuclear power plants to detect and diagnose faults. For this application, the SRT was configured to exercise the inputs of the DRPI coil diagnostic system during rod movement while exposing the system to electromagnetic interference (EMI) at various amplitudes and frequencies. These test cases were applied by the SRT hardware as voltage inputs to the DRPI coil diagnostic system and the outputs were compared to expected values generated by a model of the DRPI coil diagnostic system. Included in the paper is a description of the overall design of the SRT including the hardware and software architectures. As described in the paper, V&V using the SRT demonstrates the benefits of automated testing and fault tolerance qualification to provide a quantitative assessment of reliability and cost effective implementation of digital I&C in existing and next generation nuclear power plants.

Original languageEnglish
Title of host publication11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019
PublisherAmerican Nuclear Society
Pages829-838
Number of pages10
ISBN (Electronic)9780894487835
StatePublished - 2019
Externally publishedYes
Event11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019 - Orlando, United States
Duration: Feb 9 2019Feb 14 2019

Publication series

Name11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019

Conference

Conference11th Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2019
Country/TerritoryUnited States
CityOrlando
Period02/9/1902/14/19

Funding

The material herein is based upon work supported by the Department of Energy, Office of Nuclear Energy, under the Small Business Innovation Research program Award Number DE-SC0010139. AMS would like to acknowledge Suibel Schuppner, DOE project manager, for her assistance on this project. The material herein is based upon work supported by the Department of Energy, Office of Nuclear Energy, under the Small Business Innovation Research program Award Number DE-SC0010139. AMS would like to acknowledge Suibel Schuppner, DOE project manager, for her assistance on this project. This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

Keywords

  • Digital I&C
  • Fault tolerance
  • Nuclear instrumentation and control
  • Reliability
  • Validation
  • Verification

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