A Review on Data-Driven Process Monitoring Methods: Characterization and Mining of Industrial Data

• Published in: Processes Vol. 10; no. 2; p. 335
• Main Authors: Ji, Cheng, Sun, Wei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2022
• Subjects: Artificial intelligence; Carbon; Chemical industry; Data analysis; Data processing; Datasets; Distributed control systems; False alarms; Fault detection; Fault diagnosis; Industrial applications; Monitoring; Reviews; Simulation

Safe and stable operation plays an important role in the chemical industry. Fault detection and diagnosis (FDD) make it possible to identify abnormal process deviations early and assist operators in taking proper action against fault propagation. After decades of development, data-driven process mon...