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

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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Bibliographic Details
Main Authors: Xiaobo Pu, Lingxu Jia, Kedong Shang, Lei Chen, Tingting Yang, Liangwu Chen, Libin Gao, Linmao Qian
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
wear
disc cutter
status monitoring
vibration
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/17/6686

Internet

https://www.mdpi.com/1424-8220/22/17/6686

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