Visualized Stacked Denoising Auto-Encoder Model for Extracting and Evaluating the State Features of Rolling Bearings

Extracting intuitive operating state features from vibration signals without prior knowledge is a prospective requirement for health monitoring and fault diagnosis in bearings. In this paper, a visualized stacked denoising auto-encoder (VSDAE) model is proposed for the unsupervised extraction and qu...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Machines
المؤلفون الرئيسيون: Qing Zhang, Junshen Zhang, Ye Wang, Lie Chen
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2022-09-01
الموضوعات:
stacked denoising auto-encoder
visualization
feature extraction
feature evaluation
rolling bearing
الوصول للمادة أونلاين:https://www.mdpi.com/2075-1702/10/10/849

الانترنت

https://www.mdpi.com/2075-1702/10/10/849

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