Operating performance assessment of industrial process based on ILSTM network
It is of great significance to master the operating performance of complex production process in time to ensure the maximization of comprehensive economic benefits of enterprises.For the problem of nonlinear,dynamic characteris-tics of industrial processes,this paper proposes a comprehensive economic index driven long short-term memory(ILSTM)network for evaluating the operating performance of complex industrial processes.This method utilizes comprehensive economic indexes information and reconstruction constraints to force the LSTM network to focus on the dynamic features related to comprehensive economic indexes in the learning.Further,cascade the performance assessment model to con-struct a complete operating performance assessment framework.For the non-optimal operating performance of process,a reconstruction-based contribution plot method is proposed to identify the main variables by comparing the contribution rates of each process variable to the non-optimal performance.Finally,the effectiveness of the proposed method is demonstrated on the dense medium coal preparation process.
万方数据
维普
