{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:54:16Z","timestamp":1740102856671,"version":"3.37.3"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,24]]},"DOI":"10.1145\/3653081.3653152","type":"proceedings-article","created":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T04:13:02Z","timestamp":1714795982000},"page":"429-433","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Sensor Interference Recognition of Three-Phase Asynchronous Motor Based on Deep Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-2894-0293","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Anhui University of Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9710-621X","authenticated-orcid":false,"given":"Shenghui","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Chuzhou University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3974-3680","authenticated-orcid":false,"given":"Liang","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Chuzhou University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"16","volume-title":"Kolkata","author":"Patel B.","year":"2020","unstructured":"R. A. Patel, B. Bhalja and M. A. Alam, \"Condition Monitoring of Three-Phase Induction Motor,\" 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE), Kolkata, India, 2020, pp. 16-20."},{"key":"e_1_3_2_1_2_1","unstructured":"Ashmitha M. Dhanusha D. J. Vijitlin M. S. & Biju George G. 2021. Real time monitoring IoT based methodology for fault detection in induction motor. Irish Interdisciplinary Journal of Science & Research (IIJSR)."},{"issue":"4","key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","first-page":"1546","DOI":"10.1007\/s11668-022-01445-2","article-title":"A review to diagnose faults related to three-phase industrial induction motors","volume":"22","author":"Sheikh M. A.","year":"2022","unstructured":"Sheikh, M. A., Bakhsh, S. T., Irfan, M., Nor, N. B. M., & Nowakowski, G. 2022. A review to diagnose faults related to three-phase industrial induction motors. Journal of Failure Analysis and Prevention, 22(4), 1546-1557.","journal-title":"Journal of Failure Analysis and Prevention"},{"key":"e_1_3_2_1_4_1","first-page":"1","article-title":"15th International Conference on Emerging Technologies (ICET)","volume":"2019","author":"Khan N.","year":"2019","unstructured":"Khan N., Rafiq F., Abedin F., , IoT based health monitoring system for electrical motors[C]\/\/2019 15th International Conference on Emerging Technologies (ICET). IEEE, 2019: 1-6.","journal-title":"IEEE"},{"key":"e_1_3_2_1_5_1","volume-title":"Sensors","author":"Givnan S","year":"2022","unstructured":"Givnan S, Chalmers C, Fergus P, Anomaly detection using autoencoder reconstruction upon industrial motors[J]. Sensors, 2022, 22(9): 3166."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108622"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Al-Musawi A. K. Anayi F. & Packianather M. 2020. Three-phase induction motor fault detection based on thermal image segmentation.\u00a0Infrared Physics & Technology \u00a0104 103140.","DOI":"10.1016\/j.infrared.2019.103140"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Lamim Filho P. C. Santos D. C. Batista F. B. & Baccarini L. M. 2020. Axial stray flux sensor proposal for three-phase induction motor fault monitoring by means of orbital analysis.\u00a0IEEE Sensors Journal \u00a020(20) 12317-12325.","DOI":"10.1109\/JSEN.2020.2999547"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Brusamarello B. da Silva J. C. C. de Morais Sousa K. & Guarneri G. A. 2022. Bearing fault detection in three-phase induction motors using support vector machine and fiber Bragg grating.\u00a0IEEE Sensors Journal \u00a023(5) 4413-4421.","DOI":"10.1109\/JSEN.2022.3167632"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","first-page":"110912","DOI":"10.1016\/j.measurement.2022.110912","article-title":"Motor-current-based electromagnetic interference de-noising method for rolling element bearing diagnosis using acoustic emission sensors","volume":"193","author":"Kim S. J.","year":"2022","unstructured":"Kim, S. J., Kim, K., Hwang, T., Park, J., Jeong, H., Kim, T., & Youn, B. D. 2022. Motor-current-based electromagnetic interference de-noising method for rolling element bearing diagnosis using acoustic emission sensors. Measurement, 193, 110912.","journal-title":"Measurement"},{"key":"e_1_3_2_1_11_1","volume-title":"In\u00a02020 IEEE Symposium on Security and Privacy (SP)\u00a0(pp. 203-216)","author":"Zhang Y.","year":"2020","unstructured":"Zhang, Y., & Rasmussen, K. 2020, May. Detection of electromagnetic interference attacks on sensor systems. In\u00a02020 IEEE Symposium on Security and Privacy (SP)\u00a0(pp. 203-216). IEEE."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Wang T. Li J. Wei W. Wang W. & Fang K. 2022. Deep-learning-based weak electromagnetic intrusion detection method for zero touch networks on industrial IoT.\u00a0IEEE Network \u00a036(6) 236-242.","DOI":"10.1109\/MNET.001.2100754"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Tang Y. Zhu F. & Cheng Y. 2021. For safer high-speed trains: a comprehensive research method of electromagnetic interference on speed sensors.\u00a0IEEE Instrumentation & Measurement Magazine \u00a024(4) 96-103.","DOI":"10.1109\/MIM.2021.9448254"},{"key":"e_1_3_2_1_14_1","unstructured":"Vibhute D. S. & Gundale A. S. 2019. Early detection of sensors failure using IoT.\u00a0International Research Journal of Engineering and Technology (IRJET) \u00a06(5)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Niu G. Xiong L. Qin X. & Pecht M. 2019. Fault detection isolation and diagnosis of multi-axle speed sensors for high-speed trains.\u00a0Mechanical Systems and Signal Processing \u00a0131 183-198.","DOI":"10.1016\/j.ymssp.2019.05.053"}],"event":{"name":"IoTAAI 2023: 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence","acronym":"IoTAAI 2023","location":"Nanchang China"},"container-title":["Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3653081.3653152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,4]],"date-time":"2024-05-04T04:34:57Z","timestamp":1714797297000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3653081.3653152"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,24]]},"references-count":15,"alternative-id":["10.1145\/3653081.3653152","10.1145\/3653081"],"URL":"https:\/\/doi.org\/10.1145\/3653081.3653152","relation":{},"subject":[],"published":{"date-parts":[[2023,11,24]]},"assertion":[{"value":"2024-05-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}