Exploring the Efficiencies of Spectral Isolation for Intelligent Wear Monitoring of Micro Drill Bit Automatic Regrinding In-Line Systems

Exploring the Efficiencies of Spectral Isolation for Intelligent Wear Monitoring of Micro Drill Bit Automatic Regrinding In-Line Systems

Despite the increasing digitalization of equipment diagnostic/condition monitoring systems, it remains a challenge to accurately harness discriminant information from multiple sensors with unique spectral (and transient) behaviors. High-precision systems such as the automatic regrinding in-line equi...

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Bibliographic Details
Main Authors: Ugochukwu Ejike Akpudo, Jang-Wook Hur
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Algorithms
Subjects:
intelligent monitoring
spectral isolation
deep learning
grinding wheel wear
vibration signals
Online Access:https://www.mdpi.com/1999-4893/15/6/194

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https://www.mdpi.com/1999-4893/15/6/194

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