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A novel meta-learning method based on relation network for train bearing fault diagnosis

2025-04-25

Abstract excerpt

<title>Abstract</title> <p>Bearing, being an essential element in trains, assumes a central position in guaranteeing the safety of train operations. However, due to the scarcity of fault samples and significant differences in data distribution, existing fault diagnosis methods often fail to provide accurate and reliable results. This highlights the urgent need for innovative approaches that can address these chal...

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Literature Corpus work: 3d40fa52-5cfe-5199-acec-fb8cfb0c19c7
DOI: 10.21203/rs.3.rs-5230578/v1

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