A New Strategy for Disc Cutter Wear Status Perception Using Vibration Detection and Machine Learning

Carrying out status monitoring and fault-diagnosis research on cutter-wear status is of great significance for real-time understanding of the health status of Tunnel Boring Machine (TBM) equipment and reducing downtime losses. In this work, we proposed a new method to diagnose the abnormal wear stat...

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Detalles Bibliográficos
Autores principales: Pu, Xiaobo, Jia, Lingxu, Shang, Kedong, Chen, Lei, Yang, Tingting, Chen, Liangwu, Gao, Libin, Qian, Linmao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459918/
https://www.ncbi.nlm.nih.gov/pubmed/36081145
http://dx.doi.org/10.3390/s22176686

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459918/
https://www.ncbi.nlm.nih.gov/pubmed/36081145
http://dx.doi.org/10.3390/s22176686

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