A data-driven method for online monitoring tube wall thinning process in dynamic noisy environment

• Main Authors: ZHANG, Chen, LIM, Jun Long, LIU, Ouyang, MADAN, Aayush, ZHU, Yongwei, XIANG, Shili, WU, Kai, WONG, Rebecca Yen-Ni, PHUA, Jiliang Eugene, SABNANI, Karan M., SIAH, Keng Boon, JIANG, Wenyu, WANG, Yixin, HAO, Emily Jianzhong, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Electron tubes; Sensors; Monitoring; Fiber gratings; Feature extraction; Strain; Corrosion; Fiber Bragg grating (FBG) sensors; online monitoring; spatiotemporal model; statistical process control; tube erosion detection; Numerical Analysis and Scientific Computing; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6957; https://ink.library.smu.edu.sg/context/sis_research/article/7960/viewcontent/Data_drivenMethod_09327498_av.pdf
• Institution: Singapore Management University

Tube internal erosion, which corresponds to its wall thinning process, is one of the major safety concerns for tubes. Many sensing technologies have been developed to detect a tube wall thinning process. Among them, fiber Bragg grating (FBG) sensors are the most popular ones due to their precise mea...