Stars
A curated (most recent) list of resources for Learning with Noisy Labels
Code for paper: Scale-information fused correntropy representation for mechanical fault diagnosis under time-varying conditions
[2024 TNNLS] Source code of an online active learning strategy (DSA-AI)
[2024 IEEE TCYB]Source code of an online active learning strategy (DMI-LS)
A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionally induced faults, encompassing diverse fault severities and …
A General Toolkit for Online Learning Approaches
A benchmark dataset for real-time safety assessment of dynamic systems
Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algorithms
Compound Fault Diagnosis Dataset of Rotating Machinery
📖These are the concept drift datasets we made, and we open-source the data and corresponding interfaces. Welcome to use them for free if there is a need.