Bearing fault diagnosis based on Gramian angular field and DenseNet

Rolling bearings are the core components of mechanical and electrical systems. A practical fault diagnosis scheme is the key to ensure operational safety. There are excessive characteristic parameters with remarkable randomness and severe signal coupling in the rolling bearing operation, which makes...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Mathematical Biosciences and Engineering
المؤلفون الرئيسيون: Yajing Zhou, Xinyu Long, Mingwei Sun, Zengqiang Chen
التنسيق: مقال
اللغة:الإنجليزية
منشور في: AIMS Press 2022-09-01
الموضوعات:
fault diagnosis
gramian angular field (gaf)
densenet
transfer learning (tl)
الوصول للمادة أونلاين:https://www.aimspress.com/article/doi/10.3934/mbe.2022656?viewType=HTML

الانترنت

https://www.aimspress.com/article/doi/10.3934/mbe.2022656?viewType=HTML

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