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BearAgent: Multi-Agent Diagnosis Optimization and Uncertainty-aware Decision-Making for Bearing Health Management
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.aei.2024.103063openalex-snapshot
Domain generalization for rotating machinery fault diagnosis: A survey
inferredcites →https://doi.org/10.1016/j.engappai.2025.111745openalex-snapshot
An expert features enhanced temporal and contextual contrasting learning model for detecting wind turbine blade icing
inferredcites →https://doi.org/10.1016/j.engappai.2025.112544openalex-snapshot
A unified rotating machinery health management framework leveraging large language models for diverse components, conditions, and tasks
inferredcites →https://doi.org/10.1016/j.measurement.2024.116152openalex-snapshot
A hybrid algorithm for predicting the remaining service life of hybrid bearings based on bidirectional feature extraction
inferredcites →https://doi.org/10.1016/j.ress.2023.109768openalex-snapshot
A comprehensive study on developing an intelligent framework for identification and quantitative evaluation of the bearing defect size
inferredcites →https://doi.org/10.1016/j.ymssp.2006.12.007openalex-snapshot
Support vector machine in machine condition monitoring and fault diagnosis
inferredcites →https://doi.org/10.1016/j.ymssp.2015.04.021openalex-snapshot
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
inferredcites →https://doi.org/10.1093/jcde/qwae075openalex-snapshot
Review of imbalanced fault diagnosis technology based on generative adversarial networks
inferredcites →https://doi.org/10.1109/tii.2023.3323675openalex-snapshot
A Novel Quality-Related Distributed Fault Diagnosis Framework for Large-Scale Sequential Manufacturing Processes
inferredcites →https://doi.org/10.1109/tim.2019.2917735openalex-snapshot
Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning
inferredcites →https://doi.org/10.1109/tim.2023.3246470openalex-snapshot
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
inferredcites →https://doi.org/10.1109/tim.2023.3259031openalex-snapshot
Attention-Embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis
inferredcites →https://doi.org/10.1109/tkde.2024.3392953openalex-snapshot
Neural Networks Learn Specified Information for Imbalanced Data Classification
inferredcites →https://doi.org/10.1109/tr.2023.3328693openalex-snapshot
A Data-Driven Method for Remaining Useful Life Prediction of Rolling Bearings Under Different Working Conditions
inferredcites →https://doi.org/10.1145/1007730.1007735openalex-snapshot
A study of the behavior of several methods for balancing machine learning training data
inferredcites →https://doi.org/10.1609/aaai.v39i19.34188openalex-snapshot
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
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