{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:00:17Z","timestamp":1760234417038,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T00:00:00Z","timestamp":1619740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["No. 01.2.2- LMT-K-718 under the project No. DOTSUT-234"],"award-info":[{"award-number":["No. 01.2.2- LMT-K-718 under the project No. DOTSUT-234"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>There are many tool condition monitoring solutions that use a variety of sensors. This paper presents a self-powering wireless sensor node for shank-type rotating tools and a method for real-time end mill wear monitoring. The novelty of the developed and patented sensor node is that the longitudinal oscillations, which directly affect the intensity of the energy harvesting, are significantly intensified due to the helical grooves cut onto the conical surface of the tool holder horn. A wireless transmission of electrical impulses from the capacitor is proposed, where the collected electrical energy is charged and discharged when a defined potential is reached. The frequency of the discharge pulses is directly proportional to the wear level of the tool and, at the same time, to the surface roughness of the workpiece. By employing these measures, we investigate the support vector machine (SVM) approach for wear level prediction.<\/jats:p>","DOI":"10.3390\/s21093137","type":"journal-article","created":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T10:53:29Z","timestamp":1619780009000},"page":"3137","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Machine Learning Approach for Wear Monitoring of End Mill by Self-Powering Wireless Sensor Nodes"],"prefix":"10.3390","volume":"21","author":[{"given":"Vytautas","family":"Ostasevicius","sequence":"first","affiliation":[{"name":"Institute of Mechatronics, Kaunas University of Technology, Studentu 56, LT-51424 Kaunas, Lithuania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paulius","family":"Karpavicius","sequence":"additional","affiliation":[{"name":"Institute of Mechatronics, Kaunas University of Technology, Studentu 56, LT-51424 Kaunas, Lithuania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8787-3343","authenticated-orcid":false,"given":"Agne","family":"Paulauskaite-Taraseviciene","sequence":"additional","affiliation":[{"name":"Department of Applied Informatics, Kaunas University of Technology, Studentu 50-214, LT-51368 Kaunas, Lithuania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vytautas","family":"Jurenas","sequence":"additional","affiliation":[{"name":"Institute of Mechatronics, Kaunas University of Technology, Studentu 56, LT-51424 Kaunas, Lithuania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5742-7609","authenticated-orcid":false,"given":"Arkadiusz","family":"Mystkowski","sequence":"additional","affiliation":[{"name":"Department of Automatic Control and Robotics, Bialystok University of Technology, 15-351 Bialystok, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1283-5817","authenticated-orcid":false,"given":"Ramunas","family":"Cesnavicius","sequence":"additional","affiliation":[{"name":"Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentu 56, LT-51424 Kaunas, Lithuania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura","family":"Kizauskiene","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, Kaunas University of Technology, Studentu 50-210, LT-51368 Kaunas, Lithuania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1136","DOI":"10.1016\/j.procir.2018.03.092","article-title":"A multi-sensor based online tool condition monitoring system for milling process","volume":"72","author":"Zhang","year":"2018","journal-title":"Procedia CIRP"},{"key":"ref_2","first-page":"2083","article-title":"Research article a review of sensor system and application in milling process for tool condition monitoring","volume":"7","author":"Rizal","year":"2014","journal-title":"Res. 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