Method for Fault Diagnosis of Temperature-Related MEMS Inertial Sensors by Combining Hilbert–Huang Transform and Deep Learning

In this paper, we propose a novel method for fault diagnosis in micro-electromechanical system (MEMS) inertial sensors using a bidirectional long short-term memory (BLSTM)-based Hilbert–Huang transform (HHT) and a convolutional neural network (CNN). First, the method for fault diagnosis of inertial...

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Detalles Bibliográficos
Autores principales: Gao, Tong, Sheng, Wei, Zhou, Mingliang, Fang, Bin, Luo, Futing, Li, Jiajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583962/
https://www.ncbi.nlm.nih.gov/pubmed/33019773
http://dx.doi.org/10.3390/s20195633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583962/
https://www.ncbi.nlm.nih.gov/pubmed/33019773
http://dx.doi.org/10.3390/s20195633

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