Monitoring multi-domain batch process state based on fuzzy broad learning system
作者：
Highlights：
• It is the first time FBLS for fault monitoring in batch process is introduced.
• The method is able to distinguish the minor faults and improve monitoring performance.
• Visualized classification is performed to recognize the fault types directly.
• The novel method can simultaneously process the non-linearity and non-Gaussian of the data.
摘要
•It is the first time FBLS for fault monitoring in batch process is introduced.•The method is able to distinguish the minor faults and improve monitoring performance.•Visualized classification is performed to recognize the fault types directly.•The novel method can simultaneously process the non-linearity and non-Gaussian of the data.
论文关键词：Batch process state monitoring,Fuzzy broad learning system,Minor faults,Visualized classification
论文评审过程：Received 24 November 2020, Revised 12 August 2021, Accepted 31 August 2021, Available online 15 September 2021, Version of Record 28 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115851
