Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive Maintenance
In order to ensure the undisturbed operation of gear transmissions, avoid their unplanned downtimes and secondary damage to them, their condition needs to be monitored and their failures need to be diagnosed. Currently, there is no commercial and universal diagnostic system for predictive analysis o...
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| Format: | Article |
| Language: | English |
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Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT
2025-06-01
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| Series: | Journal of Machine Engineering |
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| Online Access: | http://jmacheng.not.pl/Gear-Wear-Mechanisms-Monitoring-Techniques-and-Their-Potential-Use-in-Gear-Predictive,206045,0,2.html |
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| _version_ | 1850223133433266176 |
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| author | Marek Stembalski Tomasz Jankowski Andrzej Roszkowski Waclaw Skoczynski |
| author_facet | Marek Stembalski Tomasz Jankowski Andrzej Roszkowski Waclaw Skoczynski |
| author_sort | Marek Stembalski |
| collection | DOAJ |
| description | In order to ensure the undisturbed operation of gear transmissions, avoid their unplanned downtimes and secondary damage to them, their condition needs to be monitored and their failures need to be diagnosed. Currently, there is no commercial and universal diagnostic system for predictive analysis of gear wear. There are also no limit values of wear indicators defining individual causes of wear. The article presents problems related to various mechanisms of gear wear. Different methods of monitoring the condition of the gear are presented. They are presented. Thermal methods, analysis of wear residues, and measurements and analysis of vibrations and acoustic emissions are described. The usefulness of these techniques for predictive maintenance of gear movement is indicated. It is proposed to extend gear diagnostics by using machine learning methods to detect their faults, and in particular critical states of gear wear. |
| format | Article |
| id | doaj-art-cfa90f809eba4a7588930af8c2f4fd7b |
| institution | OA Journals |
| issn | 1895-7595 2391-8071 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT |
| record_format | Article |
| series | Journal of Machine Engineering |
| spelling | doaj-art-cfa90f809eba4a7588930af8c2f4fd7b2025-08-20T02:06:04ZengPublishing House of Wrocław Board of Scientific Technical Societies Federation NOTJournal of Machine Engineering1895-75952391-80712025-06-01252436310.36897/jme/206045206045Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive MaintenanceMarek Stembalski0https://orcid.org/0000-0002-0801-690XTomasz Jankowski1https://orcid.org/0000-0002-0218-3870Andrzej Roszkowski2https://orcid.org/0000-0003-4337-6262Waclaw Skoczynski3https://orcid.org/0000-0002-7215-7037Faculty of Mechanical Engineering, Department of Machine Tools and Mechanical Technologies, Wroclaw University Science of Technology, PolandFaculty of Mechanical Engineering, Department of Machine Tools and Mechanical Technologies, Wroclaw University Science of Technology, PolandFaculty of Mechanical Engineering, Department of Machine Tools and Mechanical Technologies, Wroclaw University Science of Technology, PolandFaculty of Mechanical Engineering, Department of Machine Tools and Mechanical Technologies, Wroclaw University Science of Technology, PolandIn order to ensure the undisturbed operation of gear transmissions, avoid their unplanned downtimes and secondary damage to them, their condition needs to be monitored and their failures need to be diagnosed. Currently, there is no commercial and universal diagnostic system for predictive analysis of gear wear. There are also no limit values of wear indicators defining individual causes of wear. The article presents problems related to various mechanisms of gear wear. Different methods of monitoring the condition of the gear are presented. They are presented. Thermal methods, analysis of wear residues, and measurements and analysis of vibrations and acoustic emissions are described. The usefulness of these techniques for predictive maintenance of gear movement is indicated. It is proposed to extend gear diagnostics by using machine learning methods to detect their faults, and in particular critical states of gear wear.http://jmacheng.not.pl/Gear-Wear-Mechanisms-Monitoring-Techniques-and-Their-Potential-Use-in-Gear-Predictive,206045,0,2.htmlpredictive maintenancemachine learninggearbox diagnostics |
| spellingShingle | Marek Stembalski Tomasz Jankowski Andrzej Roszkowski Waclaw Skoczynski Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive Maintenance Journal of Machine Engineering predictive maintenance machine learning gearbox diagnostics |
| title | Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive Maintenance |
| title_full | Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive Maintenance |
| title_fullStr | Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive Maintenance |
| title_full_unstemmed | Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive Maintenance |
| title_short | Gear Wear Mechanisms, Monitoring Techniques and Their Potential Use in Gear Predictive Maintenance |
| title_sort | gear wear mechanisms monitoring techniques and their potential use in gear predictive maintenance |
| topic | predictive maintenance machine learning gearbox diagnostics |
| url | http://jmacheng.not.pl/Gear-Wear-Mechanisms-Monitoring-Techniques-and-Their-Potential-Use-in-Gear-Predictive,206045,0,2.html |
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