Production performance prognostics through model-based analytical method and recency-weighted stochastic approximation method

Distributed sensors are widely adopted in production systems to monitor system status and support daily operation of individual machine. However, the estimation of the potential problems in system performance using sensor information is still lagging behind. To predict production system performance in stochastic scenario, a data-driven model-based analytical method and recency-weighted stochastic approximation method are developed in this paper...