Linear regression and R-squared correlation analysis on major nuclear online plant cooling system

The primary cooling system is an integral part of a nuclear reactor that maintains operational safety. It essential to investigate the effects parameter before implementing predictive maintenance techniques in monitoring system. This paper presents linear regression and R-squared correlation analysis plant TRIGA PUSPATI Reactor Malaysia. research examines system's temperature, conductivity, flow rate maintaining reactor. Data collection on coolant has been analyzed, derived using analysis. result displays matrix for all sensors value TT5 versus TT2 89%, TT3 94%, against TT4 66% which shows excellent regression. However, conductivity sensor CT1 does not correlate with other FT1 positively correlates temperature but sensor. finding can help better develop strategy program.