A Spectral Interpretable Bearing Fault Diagnosis Framework Powered by Large Language Models
Most existing fault diagnosis methods, although capable of extracting interpretable features such as attention-weighted fault-related frequencies, remain essentially black-box models that provide only classification results without transparent reasoning or diagnostic justification, limiting users’ a...
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Main Authors: | Panfeng Bao, Wenjun Yi, Yue Zhu, Yufeng Shen, Haotian Peng |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/12/3822 |
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