Mohammed Gupta, Reza Martinez, Xiaoming Gomez
Open Access Journal of Engineering Applications · doi:10.55555/oajea.2018.4201.013
Reliability in thermal power plants has become a strategic priority for rapidly urbanising regions, where infrastructure often lags behind demand. To quantify uncertainty, the procedure embeds multi-objective optimisation within a Monte Carlo sampling scheme. Detection accuracy reached 44%, substantially exceeding that of existing techniques. Further validation across a broader range of conditions is recommended before large-scale deployment.
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