Actuarial science of machines applies statistical modeling and risk analysis to predict failures, maintenance needs, and lifespan of industrial equipment. It uses sensor data and historical patterns to optimize uptime and reduce costs. Manufacturers, fleet operators, and insurers benefit by improving reliability, safety, and financial planning.
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