Reliability Distribution of Industrial System Through Stochastic Process

Abstract

The main focus of the researcher is to study the reliability distribution of industrial systems using the stochastic process. This topic is concerned with the study of how industrial systems behave over time using mathematical models that incorporate randomness and uncertainty. By analysing the reliability distribution of these systems through stochastic processes, engineers can identify potential failure points and develop strategies to improve overall performance and efficiency. The reliability distribution of an industrial system can be analysed through a stochastic process, which allows for the prediction of failure rates and maintenance schedules. This analysis can lead to more efficient and cost-effective operation of the system. In this study, the researcher analysed the probability plot for reliability data through various distributions such as the normal distribution, gamma distribution, weibull distribution, and exponential distribution. The result of the study was prepared using Minitab software. The result of the study shows that the normal distribution of reliability fits best in comparison to the gamma, weibull, and exponential distributions.