{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-evaluation-of-methods-for-real-time","title":"An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process","arxiv_id":"1812.09178","date":"2018-12-20","proceeding":null,"authors":["Yuanzhi Huang","Eamonn Ahearne","Szymon Baron","Andrew Parnell"],"abstract":"We examined the use of three conventional anomaly detection methods and\nassess their potential for on-line tool wear monitoring. Through efficient data\nprocessing and transformation of the algorithm proposed here, in a real-time\nenvironment, these methods were tested for fast evaluation of cutting tools on\nCNC machines. The three-dimensional force data streams we used were extracted\nfrom a turning experiment of 21 runs for which a tool was run until it\ngenerally satisfied an end-of-life criterion. Our real-time anomaly detection\nalgorithm was scored and optimised according to how precisely it can predict\nthe progressive wear of the tool flank. Most of our tool wear predictions were\naccurate and reliable as illustrated in our off-line simulation results.\nParticularly when the multivariate analysis was applied, the algorithm we\ndevelop was found to be very robust across different scenarios and against\nparameter changes. It shall be reasonably easy to apply our approach elsewhere\nfor real-time tool wear analytics.","url_abs":"http://arxiv.org/abs/1812.09178v1","url_pdf":"http://arxiv.org/pdf/1812.09178v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-evaluation-of-methods-for-real-time","repo_url":"https://github.com/Yuanzhi-H/Real-Time-Detection-Methods","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"anomaly-detection","task_name":"Anomaly Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}