Faculty of Technoscience

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Predictive maintenance (Ai) in power generation for rotating machines based on vibration analysis
(2024) Kalyankolo, Zaina; Mwesigwa, Samuel; Ainomuhwezi, Martha; Kibande, Steven; Kalyankolo, Umar
Predictive maintenance, aided by Artificial Intelligence (AI), has emerged as a game-changing approach that will revolutionize how to manage and maintain machinery especially rotating machinery particularly in power generation equipment. Traditional preventive maintenance approaches have proven to be expensive and time-consuming, and frequently fail to detect possible issues before they occur. Case in point is the Callide Power Station’s Unit C4 incident. In 2021, an offshore platform experienced a catastrophic failure of gas turbine generator due to a sudden bearing failure. The incident took place on May 25, 2021, at the Callide Power Station's Unit C4. This breakdown resulted in substantial damage to the transmission network. The primary cause was discovered as high system vibrations and inadequate maintenance of the lubrication systems, which are critical for the smooth operation of the bearings. This paper presents predictive maintenance (Pd.M.) as a leveraging solution to abrupt failure in rotating machines. The paper focuses on vibration analysis as a major determinant of the equipment health.