A New Feedback DE-ELM with Time Delay-Based EFSM Approach for Fault Prediction of Non-Linear Processes

作者：Xu, Yuan; Zhou, Zi-Qian; Zhu, Qun-Xiong^*

来源：Canadian Journal of Chemical Engineering, 2015, 93(9): 1603-1612.

DOI：10.1002/cjce.22246

• fault prediction
• TDMI
• EFSM
• DE-ELM
• TE process

Fault prediction is a significant issue for ensuring industrial process safety and reliability. In practical processes, due to complexity and non-linearity, this leads to many difficulties for process fault prediction. Aiming to improve the fault prediction accuracy in procedure-oriented systems, a new feedback differential evolution-optimized extreme learning machine (FDE-ELM) with a time delay-based extended finite state machine (TD-EFSM) approach is proposed. The proposed method is exemplified in the complicated Tennessee Eastman (TE) benchmark process. The results show that the new joint time-delay EFSM-based FDE-ELM shows superiority not only in modelling stability but also in detection sensitivity.

• 出版日期2015-9
• 单位北京化工大学