Deep learning technique for process fault detection and diagnosis in the presence of incomplete data

• 作 者: Cen Guo Wenkai Hu Fan Yang Dex
• 机 构: DepartmentofAutomation,CornellUniversity,UniversityofAlberta
• 出 处: 中国化学工程学报:英文版
• 发表日期: 2020年9期
• 关键词: Alarm configuration Deep learning Fault detection and diagnosis Incomplete data
• 基金项目: supported by the National Natural Science Foundation of China(61433001),Tsinghua University Initiative Scientific Research Program

In modern industrial processes, timely detection and diagnosis of process abnormalities are critical for monitoring process operations. Various fault detection and diagnosis(FDD) methods have been proposed and implemented, the performance of which, howeve