Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/39182
Title: | Inspection of artificially built mechanical failures through innovative condition monitoring techniques | Authors: | Erol, SS Meran, C |
Publisher: | E D P SCIENCES | Abstract: | In this study, the factors influence on root causes of failure initiation are examined with the original test implementation and condition monitoring techniques are emphasized. In working toward this goal, the laboratory test setups and tests which have been created by international research bodies are examined and in order to practise a new research work, a unique test setup system and a test plan is built. In this target of the root cause failure detection, vibration data at radial direction and electrical consumption data are collected through the analysis by comparing two different condition monitoring techniques. In this research, fault detection in modeling fault conditions and vibration, electrical consumption measurement have been let us examination in depth. During the tests, data are collected simultaneously in vibration by four-channel Data Acquisition Card (DAC) and electrical consumption by Motor Condition Monitoring (MCM) system which are integrated with an computer system. Respect to the study results; vibration analysis in detection of defects has been judged to be more successful in comparison with electric consumption analysis under the test conditions in perspective of condition based predictive maintenanceln the study, it is mentioned that detection of failure initiations at sensitive levels and importance of consequent results. | URI: | https://hdl.handle.net/11499/39182 https://doi.org/10.1051/itmconf/20182201025 |
ISSN: | 2271-2097 |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Size | Format | |
---|---|---|---|
itmconf_cmes2018_01025.pdf | 471.75 kB | Adobe PDF | View/Open |
CORE Recommender
Page view(s)
36
checked on Aug 24, 2024
Download(s)
6
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.