Sensor Fault Detection and Diagnosis of Ethylene Cracking Furnace

In this paper, the comprehensive approach utilizing nonlinear PLS and fuzzy inference system is studied to meet the practical requirements for sensor fault detection and diagnosis. The integrated diagnosis system for sensor fault in cracking furnace is constructed based on the field data from a large scale industrial furnace. The application results show that the system is highly confident, greatly applicable, and highly robust.