Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault

Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault

Unlike the earlier research works which only focused on fault diagnosis, in this paper a smart fault preventive step is taken in avoiding some category of failures which may be predicted at the initial stage of CNC operation before a fault is diagnosed. Besides this, the domain of fault diagnosis ha...

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Main Authors: Al-Jonid Khalid, Kozlov Alexander, Baryshev Nikolay
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201822401091
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spelling doaj-49eaf1e3ea1d4b84b5ccb9e45d20ffec2021-02-02T01:24:35ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012240109110.1051/matecconf/201822401091matecconf_icmtmte2018_01091Design of an expert system for the prediction and comprehensive diagnosis of CNC machining faultAl-Jonid Khalid0Kozlov Alexander1Baryshev Nikolay2School of mechanical engineering, Lipetsk State Technical UniversityHead of department, Lipetsk State Technical UniversityHead of department, Lipetsk State Technical UniversityUnlike the earlier research works which only focused on fault diagnosis, in this paper a smart fault preventive step is taken in avoiding some category of failures which may be predicted at the initial stage of CNC operation before a fault is diagnosed. Besides this, the domain of fault diagnosis has also been expanded by incorporating human error which was not part of the earlier system. This is the first phase of the study and a comprehensive fault diagnosis expert system algorithm for CNC machine is going to be designed, which can later on be transformed into a knowledge-based intelligent computer applications program. This will be accomplished by consulting experts on various aspects of CNC operations.https://doi.org/10.1051/matecconf/201822401091
collection DOAJ
language English
format Article
sources DOAJ
author Al-Jonid Khalid
Kozlov Alexander
Baryshev Nikolay
spellingShingle Al-Jonid Khalid
Kozlov Alexander
Baryshev Nikolay
Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault
MATEC Web of Conferences
author_facet Al-Jonid Khalid
Kozlov Alexander
Baryshev Nikolay
author_sort Al-Jonid Khalid
title Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault
title_short Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault
title_full Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault
title_fullStr Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault
title_full_unstemmed Design of an expert system for the prediction and comprehensive diagnosis of CNC machining fault
title_sort design of an expert system for the prediction and comprehensive diagnosis of cnc machining fault
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Unlike the earlier research works which only focused on fault diagnosis, in this paper a smart fault preventive step is taken in avoiding some category of failures which may be predicted at the initial stage of CNC operation before a fault is diagnosed. Besides this, the domain of fault diagnosis has also been expanded by incorporating human error which was not part of the earlier system. This is the first phase of the study and a comprehensive fault diagnosis expert system algorithm for CNC machine is going to be designed, which can later on be transformed into a knowledge-based intelligent computer applications program. This will be accomplished by consulting experts on various aspects of CNC operations.
url https://doi.org/10.1051/matecconf/201822401091
work_keys_str_mv AT aljonidkhalid designofanexpertsystemforthepredictionandcomprehensivediagnosisofcncmachiningfault
AT kozlovalexander designofanexpertsystemforthepredictionandcomprehensivediagnosisofcncmachiningfault
AT baryshevnikolay designofanexpertsystemforthepredictionandcomprehensivediagnosisofcncmachiningfault
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