{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T19:29:45Z","timestamp":1782502185171,"version":"3.54.5"},"reference-count":26,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,2,25]],"date-time":"2017-02-25T00:00:00Z","timestamp":1487980800000},"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>This paper presents a wireless fault detection system for industrial motors that combines vibration, motor current and temperature analysis, thus improving the detection of mechanical faults. The design also considers the time of detection and further possible actions, which are also important for the early detection of possible malfunctions, and thus for avoiding irreversible damage to the motor. The remote motor condition monitoring is implemented through a wireless sensor network (WSN) based on the IEEE 802.15.4 standard. The deployed network uses the beacon-enabled mode to synchronize several sensor nodes with the coordinator node, and the guaranteed time slot mechanism provides data monitoring with a predetermined latency. A graphic user interface offers remote access to motor conditions and real-time monitoring of several parameters. The developed wireless sensor node exhibits very low power consumption since it has been optimized both in terms of hardware and software. The result is a low cost, highly reliable and compact design, achieving a high degree of autonomy of more than two years with just one 3.3 V\/2600 mAh battery. Laboratory and field tests confirm the feasibility of the wireless system.<\/jats:p>","DOI":"10.3390\/s17030469","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T11:00:20Z","timestamp":1488193220000},"page":"469","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["A Wireless Sensor System for Real-Time Monitoring and Fault Detection of Motor Arrays"],"prefix":"10.3390","volume":"17","author":[{"given":"Jonathan","family":"Medina-Garc\u00eda","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Computers, and Automation, University of Huelva, Ctra Huelva - La R\u00e1bida, s\/n, 21819 Huelva, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trinidad","family":"S\u00e1nchez-Rodr\u00edguez","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Computers, and Automation, University of Huelva, Ctra Huelva - La R\u00e1bida, s\/n, 21819 Huelva, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1304-8372","authenticated-orcid":false,"given":"Juan","family":"Gal\u00e1n","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Computers, and Automation, University of Huelva, Ctra Huelva - La R\u00e1bida, s\/n, 21819 Huelva, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ar\u00e1nzazu","family":"Delgado","sequence":"additional","affiliation":[{"name":"Department of Electrical and Thermal Engineering, University of Huelva, Ctra Huelva - La R\u00e1bida, s\/n, 21819 Huelva, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando","family":"G\u00f3mez-Bravo","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Computers, and Automation, University of Huelva, Ctra Huelva - La R\u00e1bida, s\/n, 21819 Huelva, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ra\u00fal","family":"Jim\u00e9nez","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Computers, and Automation, University of Huelva, Ctra Huelva - La R\u00e1bida, s\/n, 21819 Huelva, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,2,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4651","DOI":"10.1109\/TIE.2009.2028349","article-title":"Online and remote motor energy monitoring and fault diagnostics using wireless sensor networks","volume":"56","author":"Lu","year":"2009","journal-title":"IEEE Trans. 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