An adaptive sampling framework for life cycle degradation monitoring

• Main Authors: Yin, Yuhua, Liu, Zhiliang, Zhang, Junhao, Zio, Enrico, Zuo, Mingjian
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Data Redundancy; Data Loss
• Online Access: https://hdl.handle.net/10356/169463
• Institution: Nanyang Technological University

Data redundancy and data loss are relevant issues in condition monitoring. Sampling strategies for segment intervals can address these at the source, but do not receive the attention they deserve. Currently, the sampling methods in relevant research lack sufficient adaptability to the condition. In...