{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:43:49Z","timestamp":1740123829954,"version":"3.37.3"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T00:00:00Z","timestamp":1651104000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T00:00:00Z","timestamp":1651104000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100007225","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","award":["No. 2020YFB1804600"],"award-info":[{"award-number":["No. 2020YFB1804600"]}],"id":[{"id":"10.13039\/100007225","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 61702264"],"award-info":[{"award-number":["No. 61702264"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["30919011282\u300130918012204\u300130920041112"],"award-info":[{"award-number":["30919011282\u300130918012204\u300130920041112"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Personnel of the People's Republic of China","award":["2019M651835"],"award-info":[{"award-number":["2019M651835"]}]},{"DOI":"10.13039\/501100006579","name":"Ministry of Industry and Information Technology","doi-asserted-by":"crossref","award":["the 2020 Indus-trial Internet Innovation","Development Project"],"award-info":[{"award-number":["the 2020 Indus-trial Internet Innovation","Development Project"]}],"id":[{"id":"10.13039\/501100006579","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100008868","name":"Science and Technology Department of Jiangsu Province","doi-asserted-by":"crossref","award":["2018 Jiangsu Province Major Technical Research Project \"Information Security Simulation System\u201d"],"award-info":[{"award-number":["2018 Jiangsu Province Major Technical Research Project \"Information Security Simulation System\u201d"]}],"id":[{"id":"10.13039\/501100008868","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Ministry of Industry and Information Technology of China","award":["the 2019 Industrial Internet Innovation","Development Project"],"award-info":[{"award-number":["the 2019 Industrial Internet Innovation","Development Project"]}]},{"name":"the National Key R&D Program of China","award":["No. 2020YFB1805503"],"award-info":[{"award-number":["No. 2020YFB1805503"]}]},{"DOI":"10.13039\/100007847","name":"Natural Science Foundation of Jilin Province","doi-asserted-by":"publisher","award":["No. 61902186"],"award-info":[{"award-number":["No. 61902186"]}],"id":[{"id":"10.13039\/100007847","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin City","doi-asserted-by":"publisher","award":["No. BK20180463"],"award-info":[{"award-number":["No. BK20180463"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012476","name":"Fundamental Research Funds for Central Universities of the Central South University","doi-asserted-by":"publisher","award":["No. 30920010008"],"award-info":[{"award-number":["No. 30920010008"]}],"id":[{"id":"10.13039\/501100012476","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s11276-022-02980-4","type":"journal-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T12:03:42Z","timestamp":1651147422000},"page":"4287-4299","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A safety fault diagnosis method on industrial intelligent control equipment"],"prefix":"10.1007","volume":"30","author":[{"given":"Hanrui","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0998-1517","authenticated-orcid":false,"given":"Qianmu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunmei","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuoran","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoxian","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cangqi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,28]]},"reference":[{"issue":"4","key":"2980_CR1","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1177\/0361198119837180","volume":"2673","author":"Q Li","year":"2019","unstructured":"Li, Q., Wang, Y., Pu, Z., Wang, S., & Zhang, W. (2019). Time series association state analysis method for attacks on the smart internet of electric vehicle charging network. Transportation Research Record, 2673(4), 217\u2013228.","journal-title":"Transportation Research Record"},{"key":"2980_CR2","doi-asserted-by":"publisher","first-page":"12058","DOI":"10.1109\/ACCESS.2019.2891505","volume":"7","author":"Q Li","year":"2019","unstructured":"Li, Q., Meng, S., Zhang, S., Hou, J., & Qi, L. (2019). Complex attack linkage decision-making in edge computing networks. IEEE Access, 7, 12058\u201312072.","journal-title":"IEEE Access"},{"key":"2980_CR3","doi-asserted-by":"publisher","first-page":"24788","DOI":"10.1109\/ACCESS.2019.2896129","volume":"7","author":"Q Li","year":"2019","unstructured":"Li, Q., Meng, S., Zhang, S., Ming, W., Zhang, J., Ahvanooey, M. T., & Aslam, M. S. (2019). Safety risk monitoring of cyber-physical power systems based on ensemble learning algorithm. IEEE Access, 7, 24788\u201324805.","journal-title":"IEEE Access"},{"issue":"5","key":"2980_CR4","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1109\/TCSS.2019.2932288","volume":"6","author":"X Zhou","year":"2019","unstructured":"Zhou, X., Liang, W., Huang, S., & Miao, F. (2019). Social recommendation with large-scale group decision-making for cyber-enabled online service. IEEE Transactions on Computational Social Systems, 6(5), 1073\u20131082.","journal-title":"IEEE Transactions on Computational Social Systems"},{"issue":"1","key":"2980_CR5","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1109\/JIOT.2020.3007373","volume":"8","author":"Z Pu","year":"2020","unstructured":"Pu, Z., Zhu, M., Li, W., Cui, Z., Guo, X., & Wang, Y. (2020). Monitoring public transit ridership flow by passively sensing Wi-Fi and Bluetooth mobile devices. IEEE Internet of Things Journal, 8(1), 474\u2013486.","journal-title":"IEEE Internet of Things Journal"},{"issue":"2","key":"2980_CR6","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1109\/TNSE.2020.2969489","volume":"8","author":"L Qi","year":"2020","unstructured":"Qi, L., Wang, X., Xu, X., Dou, W., & Li, S. (2020). Privacy-aware cross-platform service recommendation based on enhanced locality-sensitive hashing. IEEE Transactions on Network Science and Engineering, 8(2), 1145\u20131153.","journal-title":"IEEE Transactions on Network Science and Engineering"},{"unstructured":"Xiaoxiao, C., Chao, Y., Hao, W., Wajid, R., & Lianyong, Q. (2020). Amplified LSHbased recommender systems with privacy protection. Concurrency and Computation: Practice and Experience. 1.","key":"2980_CR7"},{"issue":"5","key":"2980_CR8","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/TCSS.2019.2918285","volume":"6","author":"X Zhou","year":"2019","unstructured":"Zhou, X., Liang, W., Kevin, I.-K.W., & Shimizu, S. (2019). Multi-modality behavioral influence analysis for personalized recommendations in health social media environment. IEEE Transactions on Computational Social Systems, 6(5), 888\u2013897.","journal-title":"IEEE Transactions on Computational Social Systems"},{"issue":"4","key":"2980_CR9","doi-asserted-by":"publisher","first-page":"1593","DOI":"10.1016\/j.eswa.2007.08.072","volume":"35","author":"Y Lei","year":"2008","unstructured":"Lei, Y., He, Z., & Zi, Y. (2008). A new approach to intelligent fault diagnosis of rotating machinery. Expert Systems with applications, 35(4), 1593\u20131600.","journal-title":"Expert Systems with applications"},{"issue":"5","key":"2980_CR10","doi-asserted-by":"publisher","first-page":"3137","DOI":"10.1109\/TIE.2016.2519325","volume":"63","author":"Y Lei","year":"2016","unstructured":"Lei, Y., Jia, F., Lin, J., Xing, S., & Ding, S. X. (2016). An intelligent safety fault diagnosis method using unsupervised feature learning towards mechanical big data. IEEE Transactions on Industrial Electronics, 63(5), 3137\u20133147.","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"2980_CR11","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.neucom.2017.07.032","volume":"272","author":"F Jia","year":"2018","unstructured":"Jia, F., Lei, Y., Guo, L., Lin, J., & Xing, S. (2018). A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines. Neurocomputing, 272, 619\u2013628.","journal-title":"Neurocomputing"},{"issue":"9","key":"2980_CR12","doi-asserted-by":"publisher","first-page":"7316","DOI":"10.1109\/TIE.2018.2877090","volume":"66","author":"L Guo","year":"2018","unstructured":"Guo, L., Lei, Y., Xing, S., Yan, T., & Li, N. (2018). Deep convolutional transfer learning network: A new method for intelligent fault diagnosis of machines with unlabeled data. IEEE Transactions on Industrial Electronics, 66(9), 7316\u20137325.","journal-title":"IEEE Transactions on Industrial Electronics"},{"issue":"3","key":"2980_CR13","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.dsp.2003.12.003","volume":"14","author":"C Chen","year":"2004","unstructured":"Chen, C., & Mo, C. (2004). A method for intelligent fault diagnosis of rotating machinery. Digital Signal Processing, 14(3), 203\u2013217.","journal-title":"Digital Signal Processing"},{"issue":"8","key":"2980_CR14","first-page":"1372","volume":"42","author":"S Ni","year":"2008","unstructured":"Ni, S., Zhang, Y., Yi, H., & Liang, X. F. (2008). Intelligent fault diagnosis method based on fault tree. Journal of Shanghai Jiaotong University, 42(8), 1372\u20131375.","journal-title":"Journal of Shanghai Jiaotong University"},{"key":"2980_CR15","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1016\/j.ymssp.2018.12.051","volume":"122","author":"B Yang","year":"2019","unstructured":"Yang, B., Lei, Y., Jia, F., & Xing, S. (2019). An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings. Mechanical Systems and Signal Processing, 122, 692\u2013706.","journal-title":"Mechanical Systems and Signal Processing"},{"key":"2980_CR16","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.isatra.2019.08.012","volume":"97","author":"T Han","year":"2020","unstructured":"Han, T., Liu, C., Yang, W., & Jiang, D. (2020). Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application. ISA Transactions, 97, 269\u2013281.","journal-title":"ISA Transactions"},{"key":"2980_CR17","doi-asserted-by":"publisher","first-page":"34910","DOI":"10.1109\/ACCESS.2019.2904047","volume":"7","author":"Q Li","year":"2019","unstructured":"Li, Q., Meng, S., Wang, S., Zhang, J., & Hou, J. (2019). CAD: Command-level anomaly detection for vehicle-road collaborative charging network. IEEE Access, 7, 34910\u201334924.","journal-title":"IEEE Access"},{"issue":"7","key":"2980_CR18","doi-asserted-by":"publisher","first-page":"1756","DOI":"10.1109\/TMM.2020.2976573","volume":"22","author":"S Wan","year":"2020","unstructured":"Wan, S., Xia, Y., Qi, L., Yang, Y. H., & Atiquzzaman, M. (2020). Automated colorization of a grayscale image with seed points propagation. IEEE Transactions on Multimedia, 22(7), 1756\u20131768.","journal-title":"IEEE Transactions on Multimedia"},{"key":"2980_CR19","doi-asserted-by":"publisher","first-page":"130707","DOI":"10.1109\/ACCESS.2019.2939891","volume":"7","author":"J Hou","year":"2019","unstructured":"Hou, J., Li, Q., Meng, S., Ni, Z., Chen, Y., & Liu, Y. (2019). DPRF: A differential privacy protection random forest. IEEE Access, 7, 130707\u2013130720.","journal-title":"IEEE Access"},{"key":"2980_CR20","doi-asserted-by":"publisher","first-page":"102885","DOI":"10.1016\/j.trd.2021.102885","volume":"95","author":"W Li","year":"2021","unstructured":"Li, W., Pu, Z., Li, Y., & Tu, M. (2021). How does ridesplitting reduce emissions from ridesourcing? A spatiotemporal analysis in Chengdu, China. Transportation Research Part D: Transport and Environment, 95, 102885.","journal-title":"Transportation Research Part D: Transport and Environment"},{"issue":"2","key":"2980_CR21","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1007\/s11036-019-01445-x","volume":"25","author":"S Wan","year":"2020","unstructured":"Wan, S., Qi, L., Xu, X., Tong, C., & Gu, Z. (2020). Deep learning models for real-time human activity recognition with smartphones. Mobile Networks and Applications, 25(2), 743\u2013755.","journal-title":"Mobile Networks and Applications"},{"issue":"19","key":"2980_CR22","doi-asserted-by":"publisher","first-page":"15411","DOI":"10.1007\/s00521-019-04693-w","volume":"32","author":"A Zhou","year":"2020","unstructured":"Zhou, A., Wang, S., Wan, S., & Qi, L. (2020). LMM: Latency-aware micro-service mashup in mobile edge computing environment. Neural Computing and Applications, 32(19), 15411\u201315425.","journal-title":"Neural Computing and Applications"},{"issue":"1","key":"2980_CR23","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1109\/TETC.2018.2860051","volume":"9","author":"X Zhou","year":"2018","unstructured":"Zhou, X., Liang, W., Kevin, I., Wang, K., Huang, R., & Jin, Q. (2018). Academic influence aware and multidimensional network analysis for research collaboration navigation based on scholarly big data. IEEE Transactions on Emerging Topics in Computing, 9(1), 246\u2013257.","journal-title":"IEEE Transactions on Emerging Topics in Computing"},{"issue":"6","key":"2980_CR24","doi-asserted-by":"publisher","first-page":"4187","DOI":"10.1109\/TII.2019.2936869","volume":"16","author":"X Xu","year":"2019","unstructured":"Xu, X., Zhang, X., Gao, H., Xue, Y., Qi, L., & Dou, W. (2019). BeCome: Blockchain-enabled computation offloading for IoT in mobile edge computing. IEEE Transactions on Industrial Informatics, 16(6), 4187\u20134195.","journal-title":"IEEE Transactions on Industrial Informatics"},{"issue":"6","key":"2980_CR25","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1109\/THMS.2017.2725341","volume":"48","author":"X Zhou","year":"2017","unstructured":"Zhou, X., Wu, B., & Jin, Q. (2017). Analysis of user network and correlation for community discovery based on topic-aware similarity and behavioral influence. IEEE Transactions on Human-Machine Systems, 48(6), 559\u2013571.","journal-title":"IEEE Transactions on Human-Machine Systems"},{"issue":"2","key":"2980_CR26","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s11668-016-0080-7","volume":"16","author":"A Boudiaf","year":"2016","unstructured":"Boudiaf, A., Moussaoui, A., Dahane, A., & Atoui, I. (2016). A comparative study of various methods of bearing faults diagnosis using the case Western Reserve University data. Journal of Failure Analysis and Prevention, 16(2), 271\u2013284.","journal-title":"Journal of Failure Analysis and Prevention"},{"key":"2980_CR27","doi-asserted-by":"publisher","first-page":"102671","DOI":"10.1016\/j.trc.2020.102671","volume":"117","author":"Z Cui","year":"2020","unstructured":"Cui, Z., Lin, L., Pu, Z., & Wang, Y. (2020). Graph Markov network for traffic forecasting with missing data. Transportation Research Part C: Emerging Technologies, 117, 102671.","journal-title":"Transportation Research Part C: Emerging Technologies"}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-022-02980-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11276-022-02980-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-022-02980-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T15:54:20Z","timestamp":1720022060000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11276-022-02980-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,28]]},"references-count":27,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["2980"],"URL":"https:\/\/doi.org\/10.1007\/s11276-022-02980-4","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"type":"print","value":"1022-0038"},{"type":"electronic","value":"1572-8196"}],"subject":[],"published":{"date-parts":[[2022,4,28]]},"assertion":[{"value":"8 April 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}