{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:33:55Z","timestamp":1760240035408,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,1,26]],"date-time":"2019-01-26T00:00:00Z","timestamp":1548460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In recent years, multi-axis robots are indispensable in automated factories due to the rapid development of Industry 4.0. Many related processes were required to have the increasing demand for accuracy, reproducibility, and abnormal detection. The monitoring function and immediate feedback for correction is more and more important. This present study integrated a highly sensitive lithium niobate (LiNbO3) vibration sensor as a sensor node (SN) and architecture of wireless mesh network (WMN) to develop a monitoring system (MS) for the robotic arm. The advantages of the thin-film LiNbO3 piezoelectric sensor were low-cost, high-sensitivity and good electrical compatibility. The experimental results obtained from the vibration platform show that the sensitivity achieved 50 mV\/g and the reaction time within 1 ms. The results of on-site testing indicated that the SN could be configured on the relevant equipment quickly and detect the abnormal vibration in specific equipment effectively. Each SN could be used more than 10 h at the 80 Hz transmission rate under WMN architecture and the loss rate of transmission was less than 0.01% within 20 m.<\/jats:p>","DOI":"10.3390\/s19030507","type":"journal-article","created":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T03:40:55Z","timestamp":1548733255000},"page":"507","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO3 Vibration Sensors for Robotic Arm Monitoring"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6087-4610","authenticated-orcid":false,"given":"Yi-Chun","family":"Du","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City 71005, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David T.W.","family":"Lin","sequence":"additional","affiliation":[{"name":"Institute of Mechatronic System Engineering, National University of Tainan, Tainan City 70005, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5558-5817","authenticated-orcid":false,"given":"Chun-Ping","family":"Jen","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi County 62102, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Choon Wei","family":"Ng","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City 71005, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chi-Ying","family":"Chang","sequence":"additional","affiliation":[{"name":"Institute of Mechatronic System Engineering, National University of Tainan, Tainan City 70005, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya-Xuan","family":"Wen","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering and Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Chiayi County 62102, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,26]]},"reference":[{"key":"ref_1","first-page":"7373","article-title":"Software-defined industrial internet of things in the context of industry 4.0","volume":"16","author":"Wan","year":"2016","journal-title":"IEEE Sens. 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