Operating Performance Assessment for Transition State of Industrial Processes

Abstract

Traditional operating performance assessment approaches mainly focus on the steady state. However, the assessment indicators designed for the steady state cannot be directly applied to the transition state. Moreover, identifying the process state for a multivariable system is difficult and time-consuming. An operating performance assessment method for the transition state is developed. In the proposed framework, a transition state detection method is first proposed to detect the transition state from the data automatically and accurately. Then, a systematic set of several special indicators is developed based on the characteristic of the transition state. The effectiveness of the developed method is demonstrated with a case study of an industrial hydrocracking process.

Operating performance assessment based on stacked performance‐relevant enhanced denoising auto‐encoder for industrial processes

“…Therefore, the operating performance assessment of industrial processes has attracted tremendous attention for optimizing production management and improving comprehensive economic benefits in recent years. [ 1–3 ] Being different from the process monitoring that distinguishes between normal and fault, the process operating performance assessment is to measure how far is the gap between the current operating level and the optimal level under normal conditions. Therefore, an effective operating performance assessment strategy is significant for efficient and profitable production in modern industrial processes.…”