Unsupervised fault detection using frequency-wise angular filtering in contaminated vibration signals
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Production Research"
DOI: 10.1080/00207543.2024.2427895
Abstract: Manufacturing processes involve multiple machines within a production line. Unexpected faults in machines reduce productivity and increase maintenance costs. Engineers face difficulties in managing numerous machines individually and controlling them immediately. For automatic condition monitoring,… read more here.
Keywords: unsupervised fault; frequency wise; wise angular; fault detection ... See more keywords
A Novel Two-Stage Unsupervised Fault Recognition Framework Combining Feature Extraction and Fuzzy Clustering for Collaborative AIoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3076077
Abstract: Currently, with the development of the Internet of Things (IoTs) and artificial intelligence, a new IoT structure known as the artificial Intelligence of Things (AIoTs) comes into play. With the development of AIoT, a large… read more here.
Keywords: unsupervised fault; recognition framework; fault recognition; fault ... See more keywords
Unsupervised Fault Detection of Brushless DC Motors Under Multioperating Conditions via Order Hybrid Interpolated Gaussian Descriptor
Sign Up to like & getrecommendations! Published in 2025 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2024.3452429
Abstract: Brushless dc motors (BLDCMs) are widely used in the industrial field, and their safe and reliable operation is crucial. Unsupervised fault detection methods only require normal operation data for training, making it highly practical. However,… read more here.
Keywords: unsupervised fault; order hybrid; multioperating conditions; fault detection ... See more keywords