Interpretable fault diagnosis with shapelet temporal logic: theory and application

• Main Authors: Chen, Gang, Lu, Yu, Su, Rong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Interpretable Fault Diagnosis; Logic Inference
• Online Access: https://hdl.handle.net/10356/163544
• Institution: Nanyang Technological University

Shapelets are discriminative subsequences of sequential data that best predict the target variable and are directly interpretable, which have attracted considerable interest within the interpretable fault diagnosis community. Despite their immense potential as a data mining primitive, currently, sha...