DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING

DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING

Ph.D

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Bibliographic Details
Main Author: XU HUAN
Other Authors: MECHANICAL ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2021
Subjects:
data-driven, neural network, tool condition monitoring, gun-drilling, gated recurrent units, diagnosis and prognosis
Online Access:https://scholarbank.nus.edu.sg/handle/10635/186740
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1867402023-03-01T18:00:56Z DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING XU HUAN MECHANICAL ENGINEERING Geok Soon Hong Keng Soon Woon data-driven, neural network, tool condition monitoring, gun-drilling, gated recurrent units, diagnosis and prognosis Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2021-02-25T18:00:28Z 2021-02-25T18:00:28Z 2020-08-19 Thesis XU HUAN (2020-08-19). DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/186740 en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic data-driven, neural network, tool condition monitoring, gun-drilling, gated recurrent units, diagnosis and prognosis
spellingShingle data-driven, neural network, tool condition monitoring, gun-drilling, gated recurrent units, diagnosis and prognosis
XU HUAN
DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING
description Ph.D
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
XU HUAN
format Theses and Dissertations
author XU HUAN
author_sort XU HUAN
title DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING
title_short DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING
title_full DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING
title_fullStr DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING
title_full_unstemmed DATA-DRIVEN APPROACHES FOR GUN-DRILLING TOOL CONDITION MONITORING
title_sort data-driven approaches for gun-drilling tool condition monitoring
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/186740
_version_ 1759852872643641344

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