{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T11:24:12Z","timestamp":1777289052852,"version":"3.51.4"},"reference-count":35,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,6,13]],"date-time":"2018-06-13T00:00:00Z","timestamp":1528848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shanxi Youth Science and Technology Research Fund Project","award":["201601D021084"],"award-info":[{"award-number":["201601D021084"]}]},{"name":"Shanxi province graduate education reform research topic","award":["2017JG30"],"award-info":[{"award-number":["2017JG30"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>To reduce the difficulty of acquiring and transmitting data in mining hoist fault diagnosis systems and to mitigate the low efficiency and unreasonable reasoning process problems, a fault diagnosis method for mine hoisting equipment based on the Internet of Things (IoT) is proposed in this study. The IoT requires three basic architectural layers: a perception layer, network layer, and application layer. In the perception layer, we designed a collaborative acquisition system based on the ZigBee short distance wireless communication technology for key components of the mine hoisting equipment. Real-time data acquisition was achieved, and a network layer was created by using long-distance wireless General Packet Radio Service (GPRS) transmission. The transmission and reception platforms for remote data transmission were able to transmit data in real time. A fault diagnosis reasoning method is proposed based on the improved Dezert-Smarandache Theory (DSmT) evidence theory, and fault diagnosis reasoning is performed. Based on interactive technology, a humanized and visualized fault diagnosis platform is created in the application layer. The method is then verified. A fault diagnosis test of the mine hoisting mechanism shows that the proposed diagnosis method obtains complete diagnostic data, and the diagnosis results have high accuracy and reliability.<\/jats:p>","DOI":"10.3390\/s18061920","type":"journal-article","created":{"date-parts":[[2018,6,13]],"date-time":"2018-06-13T10:45:35Z","timestamp":1528886735000},"page":"1920","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Fault Diagnosis Method for a Mine Hoist in the Internet of Things Environment"],"prefix":"10.3390","volume":"18","author":[{"given":"Juanli","family":"Li","sequence":"first","affiliation":[{"name":"Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment, College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China"},{"name":"Post-Doctoral Scientific Research Station, Shanxi Coking Coal Group Co., Ltd., Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiacheng","family":"Xie","sequence":"additional","affiliation":[{"name":"Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment, College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaojian","family":"Yang","sequence":"additional","affiliation":[{"name":"Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment, College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjie","family":"Li","sequence":"additional","affiliation":[{"name":"Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment, College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wu, J., Cui, X., and Xu, Y. (2016). A Novel RFID-Based Sensing Method for Low-Cost Bolt Loosening Monitoring. Sensors, 16.","DOI":"10.3390\/s16020168"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Yang, X., Wen, P., Xue, Y., Zheng, T.Q., and Wang, Y. (2017). Super Capacitor Energy Storage Based MMC for Energy Harvesting in Mine Hoist Application. Energies, 10.","DOI":"10.3390\/en10091428"},{"key":"ref_3","first-page":"31","article-title":"Fault diagnosis of deep groove ball bearing through discrete wavelet features using support vector machine","volume":"17","author":"Kiran","year":"2014","journal-title":"Int. J. Comadem"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1080\/17445760.2013.806921","article-title":"Fault diagnosis using partial syndromes: A modified Hopfield neural network approach","volume":"29","author":"Elhadef","year":"2014","journal-title":"Int. J. Parallel Emergent Distrib. Syst."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"123","DOI":"10.3901\/JME.2014.03.123","article-title":"Class mean kernel principal component analysis and its application in fault diagnosis","volume":"50","author":"Li","year":"2014","journal-title":"J. Mech. Eng. Eng."},{"key":"ref_6","first-page":"1309","article-title":"Intelligent fault diagnosis method of mine hoist based on knowledge engineering","volume":"41","author":"Li","year":"2016","journal-title":"J. China Coal Soc."},{"key":"ref_7","first-page":"288","article-title":"Fault diagnosis for spindle system of hoist based on complex network clustering","volume":"36","author":"Dong","year":"2016","journal-title":"J. Vib. Meas. Diagn."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s10796-014-9492-7","article-title":"The internet of things: A survey","volume":"17","author":"Li","year":"2015","journal-title":"Inf. Syst. Front."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/JSAC.2013.SUP.0513005","article-title":"Interconnection framework for mHealth and remote monitoring based on the internet of things","volume":"31","author":"Jara","year":"2013","journal-title":"IEEE. J. Sel. Areas Commun."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1109\/TII.2012.2189221","article-title":"Integration of distributed enterprise applications: A survey","volume":"10","author":"He","year":"2014","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_11","unstructured":"Feng, G., Mustafa, A., Gu, J.X., and Ball, A.D. (, January September). The real-time implementation of envelope analysis for bearing fault diagnosis based on wireless sensor network. Proceedings of the 19th International Conference on Automation & Computing, London, UK."},{"key":"ref_12","first-page":"92","article-title":"Mechanical fault diagnosis method based on multi-level fusion in wireless sensor networks","volume":"36","author":"Tang","year":"2016","journal-title":"J. Vib. Meas. Diagn."},{"key":"ref_13","first-page":"83","article-title":"Research of PWR CRDM fault information fusion method based on IoT","volume":"47","author":"Guo","year":"2015","journal-title":"J. Harbin Inst. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1007\/s10845-013-0829-8","article-title":"Combined intelligent methods based on wireless sensor networks for condition monitoring and fault diagnosis","volume":"26","year":"2015","journal-title":"J. Intell. Manuf."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/JCN.2013.000014","article-title":"CFP scheduling for real-time service and energy efficiency in the industrial applications","volume":"15","author":"Ding","year":"2013","journal-title":"J. Commun. Netw."},{"key":"ref_16","unstructured":"Niggemann, O., Biswas, G., Kinnebrew, J.S., Khorasgani, H., Volgmann, S., and Bunte, A. (September, January 31). Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. Proceedings of the 26th International Workshop on Principles of Diagnosis, Paris, France."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"9","DOI":"10.22161\/ijaers.4.4.2","article-title":"Transmission Line Fault Monitoring and Identification System by Using Internet of Thing","volume":"4","author":"Suresh","year":"2017","journal-title":"Int. J. Adv. Eng. Res. Sci."},{"key":"ref_18","first-page":"83","article-title":"Design on Perception System of Mine Hoist Based on Internet of Things","volume":"40","author":"Wang","year":"2012","journal-title":"Coal Sci. Technol."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Wang, F., and He, F. (2010, January 23\u201324). Study of Hoist Perception System Based on IOT Technology. Proceedings of the International Conference on Web Information Systems and Mining, Sanya, China.","DOI":"10.1109\/WISM.2010.114"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.4028\/www.scientific.net\/AMM.209-211.2142","article-title":"The Application of Internet of Things (IOT) Technology in the Safety Monitoring System for Hoisting Machines","volume":"209\u2013211","author":"Zhao","year":"2012","journal-title":"Appl. Mech. Mater."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1109\/ACCESS.2016.2553150","article-title":"On enhancing technology coexistence in the loT Era: ZigBee and 802.11 Case","volume":"4","author":"Ndih","year":"2016","journal-title":"IEEE Access"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"265","DOI":"10.14257\/ijmue.2014.9.4.28","article-title":"A zigbee network model used to large-scale networking","volume":"9","author":"Ren","year":"2014","journal-title":"Int. J. Multimed. Ubiquitous Eng."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Lin, S.Z., Liu, J.Y., and Fang, Y.J. (2007, January 18\u201321). ZigBee Based Wireless Sensor Networks and Its Applications in Industrial. In Proceeding of the IEEE International Conference on Automation and Logistics, Jinan, China.","DOI":"10.1109\/ICAL.2007.4338898"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"423S","DOI":"10.1109\/JSEN.2010.2091719","article-title":"A Zigbee-Based Wearable Physiological Parameters Monitoring System","volume":"12","author":"Malhi","year":"2012","journal-title":"IEEE Sens. J."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1730","DOI":"10.1016\/j.eswa.2014.10.007","article-title":"Zigbee-based data acquisition system for online monitoring of grid-connected photovoltaic system","volume":"42","author":"Shariff","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1478","DOI":"10.1016\/j.asoc.2012.06.020","article-title":"A flexible algorithm for fault diagnosis in a centrifugal pump with corrupted data and noise based on ANN and support vector machine with hyper-parameters optimization","volume":"13","author":"Azadeh","year":"2013","journal-title":"Appl. Soft. Comput."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Beleut, M., Soeldner, R., Egorov, M., Guenther, R., Dehler, S., Morys-Wortmann, C., Moch, H., Henco, K., and Schraml, P. (2016). Discretization of Gene Expression Data Unmasks Molecular Subgroups Recurring in Different Human Cancer Types. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0161514"},{"key":"ref_28","first-page":"88","article-title":"The Discretization of Continuous Attributes Based on Improved SOM Clustering","volume":"701\u2013702","author":"Tao","year":"2015","journal-title":"Appl. Mech. Mater."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"451","DOI":"10.2174\/1574893611666160617091142","article-title":"Protein Fold Recognition Using Self-Organizing Map Neural Network","volume":"11","author":"Ozlem","year":"2016","journal-title":"Curr. Bioinform."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2175","DOI":"10.1007\/s00500-016-2476-4","article-title":"Detection of Web site visitors based on fuzzy rough sets","volume":"22","author":"Hamidzadeh","year":"2018","journal-title":"Soft Cpmput."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"285","DOI":"10.2174\/1874155X01408010285","article-title":"An Improved Algorithm of Extracting Fault Diagnosis Rules Based on Rough Sets","volume":"8","author":"Li","year":"2014","journal-title":"Open Mech. Eng. J."},{"key":"ref_32","first-page":"405","article-title":"Increment algorithm for attribute reduction based on improvement of discernibility matrix","volume":"29","author":"Feng","year":"2012","journal-title":"J. Shenzhen Univ. Sci. Eng."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2521","DOI":"10.1109\/TCYB.2014.2309632","article-title":"Optimal object association in the Dempster-Shafer framework","volume":"44","author":"Denoeux","year":"2014","journal-title":"IEEE Trans. Cybern."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.dsp.2015.06.009","article-title":"An evidence clustering DSmT approximate reasoning method based on convex functions analysis","volume":"45","author":"Guo","year":"2015","journal-title":"Digit. Signal Process."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.dsp.2016.05.007","article-title":"An evidence clustering DSmT approximate reasoning method for more than two sources","volume":"56","author":"Guo","year":"2016","journal-title":"Digit. Signal Process."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/6\/1920\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:08:26Z","timestamp":1760195306000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/6\/1920"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,13]]},"references-count":35,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2018,6]]}},"alternative-id":["s18061920"],"URL":"https:\/\/doi.org\/10.3390\/s18061920","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,13]]}}}