A review of data-driven fault detection and diagnosis methods: applications in chemical process systems

• Main Authors: Nor, Norazwan Md, Hassan, Che Rosmani Che, Hussain, Mohd Azlan
• Format: Article
• Published: Walter de Gruyter 2020
• Subjects: TA Engineering (General). Civil engineering (General); TP Chemical technology
• Online Access: http://eprints.um.edu.my/36734/

Fault detection and diagnosis (FDD) systems are developed to characterize normal variations and detect abnormal changes in a process plant. It is always important for early detection and diagnosis, especially in chemical process systems to prevent process disruptions, shutdowns, or even process fail...