Percorrer por autor "Balitki, Maxim"
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- Reliability analysis of industrial physical assetsPublication . Balitki, Maxim; Sobral, José Augusto da SilvaAbstract This master’s dissertation is dedicated to the study and reliability analysis of industrial physical assets, with an emphasis on the beamhouse line of a leather production company. The research aims to analyze and model the life (and its parameters) of critical physical assets using statistical distributions; draw conclusions about the life-cycle phase of the equipment; and improve the system’s reliability indicators through redundancy strategies. Using the repair history of various elements in the beamhouse line, the times to failure (TTF) were extracted via Python code written by the author. This algorithm connects to the SQL database, where the maintenance history is stored, and performs the calculations required for the reliability study. The data considered start in 2021 for the transport clamp machine, conveyor belt and lime splitting machine, and in 2019 for the fleshing machine. A 2-parameter Weibull distribution was applied to the four assets and validated through the chi-square goodness-of-fit test. It was concluded that the four pieces of equipment were in the infant mortality life phase, despite, theoretically, having already surpassed this stage. The reason for this phenomenon may lie in the possibility that the equipment is resisting this transition (from infant mortality to useful life) due to imperfect repairs. Based on fundamental reliability functions, the probability of success at 50, 100, 150, 300 and 500 hours, and the mean time between failures (MTBF) were determined for each asset. Since the assets, which follow a series configuration, showed low reliability values, four redundancy models (parallel system, parallel-series, standby system and standby-series) were presented to improve the results.