Reliability and Performance Evaluation of Safety-Critical Instrumentation and Control Systems of Nuclear Power Plant

Instrumentation and control systems are nervous systems of nuclear power plant (NPP). These systems interact with several safety-critical components of the NPP, such as actuators, transformers, control valves, sensors, circuit breakers, signal processing units, controllers, and heat exchangers. Ther...

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Bibliographic Details
Published in:IEEE transactions on reliability 2024-03, Vol.73 (1), p.422-437
Main Authors: Jyotish, Nand Kumar, Singh, Lalit Kumar, Kumar, Chiranjeev, Singh, Pooja
Format: Article
Language:English
Subjects:
Actuators
Batch deterministic and stochastic Petri net (BDSPN)
Batch production systems
Circuit breakers
continuous time Markov chain (CTMC)
Continuous time systems
Control equipment
Control systems
Critical components
Heat exchangers
Inhibitors
Instruments
Markov processes
Mathematical models
Mission critical systems
modeling
nuclear power plant (NPP)
Nuclear power plants
Nuclear safety
Performance evaluation
Petri nets
Petri nets (PNs)
Power generation
Reliability
Reliability analysis
Safety
Safety critical
safety-critical systems (SCSs)
Sea measurements
Transition probabilities
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Summary:Instrumentation and control systems are nervous systems of nuclear power plant (NPP). These systems interact with several safety-critical components of the NPP, such as actuators, transformers, control valves, sensors, circuit breakers, signal processing units, controllers, and heat exchangers. Therefore, the failure of these systems could result in significant financial loss, harm to human resources, or environmental damage. As a result, these systems need to be highly reliable and accurate. In this article, we suggest a framework, based on the batch deterministic and stochastic Petri nets (BDSPNs) to measure the reliability and performance of safety-critical system. The framework consists of three phases. In the first phase, the system is modeled using the BDSPN to derive the transition rate among the system states. In phase 2, the transition rate matrix is utilized to compute the steady-state probability values, which help to evaluate the response time of the system using Little's law. The third phase uses a transition probability matrix to assess the reliability of the system. The technique is illustrated on shutdown system of NPP and is validated on the operational profile data. The obtained accuracy of 99.9905% in measurement of reliability validates the approach.
ISSN:0018-9529
1558-1721
DOI:10.1109/TR.2023.3270314