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Sensor Failure Detection of FASSIP System using Principal Component Analysis

Sudarno, SD and Mulya Juarsa, MJ and Kussigit Santosa, KS and Deswandri, DW (2017) Sensor Failure Detection of FASSIP System using Principal Component Analysis. In: International Conference on Nuclear Technologies and Sciences (ICoNETS 2017), 12 Oktober 2017, Makasar - Sulawesi Selatan - Indonesia.

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Abstract

Abstract In the nuclear reactor accident of Fukushima Daiichi in Japan, the damages of core and pressure vessel were caused by the failure of its active cooling system (diesel generator was inundated by tsunami). Thus researches on passive cooling system for Nuclear Power Plant are performed to improve the safety aspects of nuclear reactors. The FASSIP system (Passive System Simulation Facility) is an installation used to study the characteristics of passive cooling systems at nuclear power plants. The accuracy of sensor measurement of FASSIP system is essential, because as the basis for determining the characteristics of a passive cooling system. In this research, a sensor failure detection method for FASSIP system is developed, so the indication of sensor failures can be detected early. The method used is Principal Component Analysis (PCA) to reduce the dimension of the sensor, with the Squarred Prediction Error (SPE) and statistic Hotteling criteria for detecting sensor failure indication. The results shows that PCA method is capable to detect the occurrence of a failure at any sensor.

Item Type: Conference or Workshop Item (Paper)
Subjects: Keselamatan dan Keamanan Nuklir
Divisions: Pusat Teknologi dan Keselamatan Reaktor Nuklir
Depositing User: USER PTKRN BATAN
Date Deposited: 08 May 2018 08:23
Last Modified: 08 May 2018 08:23
URI: http://repo-nkm.batan.go.id/id/eprint/1156

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