ANN based sensor and actuator fault detection in nuclear reactors

Shohan Banerjee; Jiamei M. Deng; Chris Gorse; Vineet Vajpayee; Victor Becerra; S. R. Shimjith

doi:10.1109/ICCMA51325.2020.9301579

ANN based sensor and actuator fault detection in nuclear reactors

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shohan Banerjee
Jiamei M. Deng
Chris Gorse
Dr Vineet Vajpayee
Professor Victor Becerra
S. R. Shimjith

School of Energy & Electronic Engineering

In the nuclear power plants (NPPs), fault detection and diagnosis (FDD) methods are very important to improve the safety and reliability of plants. Researchers have established various FDD methods such as model-based methods, data driven methods, and signal-based methods. In practical applications, model based methods are very difficult to achieve. Thus, various data-driven methods and signal-based methods have been applied for monitoring key subsystems in NPPs. In this paper, a brief overview of the Artificial Neural Network (ANN) based FDD method is presented. Simulated data have been generated to train the ANNs as per requirement and to compare with the plant signal during a fault. A technique has been proposed analyzing two sensors data (power sensor and coolant sensor) to determine the sensor and actuator fault in a closed-loop in presence of robust (Proportional-Integral-Derivative) PID controller. Results are produced with credible MATLAB simulation.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Control, Mechatronics and Automation, (ICCMA 2020)
Place of Publication	978-1-7281-9211-6
Publisher	Institute of Electrical and Electronics Engineers
Pages	88-94
Number of pages	7
ISBN (Electronic)	978-1-7281-9210-9, 978-1-7281-9209-3
DOIs	https://doi.org/10.1109/ICCMA51325.2020.9301579
Publication status	Published - 29 Dec 2020
Event	The 8th International Conference on Control, Mechatronics and Automation - Moscow, Russian Federation Duration: 6 Nov 2020 → 8 Nov 2020 http://www.iccma.org/

Conference

Conference	The 8th International Conference on Control, Mechatronics and Automation
Abbreviated title	ICCMA 2020
Country	Russian Federation
City	Moscow
Period	6/11/20 → 8/11/20
Internet address	http://www.iccma.org/

Documents

ICCMA_20_SB
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Accepted author manuscript (Post-print), 1.18 MB, PDF document