A Fault Diagnosis Method of Four-Mass Vibration MEMS Gyroscope Based on ResNeXt-50 with Attention Mechanism and Improved EWT Algorithm

In this paper, a fault identification algorithm combining a signal processing algorithm and machine learning algorithm is proposed, using a four-mass vibration MEMS gyroscope (FMVMG) for signal acquisition work, constructing a gyroscope fault dataset, and performing the model training task based on...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Micromachines
المؤلفون الرئيسيون: Yikuan Gu, Yan Wang, Zhong Li, Tiantian Zhang, Yuanhao Li, Guodong Wang, Huiliang Cao
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2023-06-01
الموضوعات:
fault diagnosis
four-mass vibration MEMS gyroscope
denoising algorithm
ResNeXt
deep neural networks
SENet
الوصول للمادة أونلاين:https://www.mdpi.com/2072-666X/14/7/1287

الانترنت

https://www.mdpi.com/2072-666X/14/7/1287

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