面向设备性能退化监测的分步参数估计策略OA北大核心CSTPCD

Periodic preventive maintenance is essential to chemical plant management and can be realized through online performance monitoring of key equipment.A stepwise parameter estimation strategy based on sensitivity analysis was proposed to solve the parameter estimability problem in the mechanism model analysis of equipment performance degradation.First,the online coarse-grained model candidates were given based on the rigorous mechanism model,and the optimal model and initial parameter values were obtained through preliminary parameter estimation using historical data fitting.Then,the parameters were sorted based on the sensitivity analysis,and the constant parameters of different orders defined by the time-varying parameters representing performance degradation were processed sequentially using different strategies.Finally,the time-varying parameters were estimated by sliding time windows to realize equipment performance monitoring.Taking the monitoring of the heat transfer performance of a jacketed heat exchanger in a reactor as an example,the degeneration of equipment performance parameters was obtained through the stepwise strategy,and the influence of operating variables was stripped away.The results were consistent with the factory operation cycle,indicating that the strategy could be used for performance monitoring.