Reliability modeling and prediction involves using mathematical and statistical techniques to assess and forecast the reliability of a system, component, or product. It helps predict the probability of failure over a specific period, identify potential weak points in design, and optimize maintenance strategies. Common methods include fault tree analysis, Markov modeling, and Weibull analysis. It's used in various industries like aerospace, automotive, and manufacturing to improve product quality, reduce downtime, and enhance safety.
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