{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T14:20:55Z","timestamp":1785507655751,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,4,8]],"date-time":"2019-04-08T00:00:00Z","timestamp":1554681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,4,8]]},"DOI":"10.1145\/3297280.3297363","type":"proceedings-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T12:18:47Z","timestamp":1556713127000},"page":"842-850","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":36,"title":["Ensemble trees learning based improved predictive maintenance using IIoT for turbofan engines"],"prefix":"10.1145","author":[{"given":"Sourajit","family":"Behera","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anurag","family":"Choubey","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chandresh S","family":"Kanani","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yashwant Singh","family":"Patel","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajiv","family":"Misra","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Sillitti","sequence":"additional","affiliation":[{"name":"Innopolis University, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,4,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International conference on database systems for advanced applications. Springer, 214--228","author":"Babu Giduthuri Sateesh","year":"2016","unstructured":"Giduthuri Sateesh Babu, Peilin Zhao, and Xiao-Li Li. 2016. Deep convolutional neural network based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications. Springer, 214--228."},{"key":"e_1_3_2_1_2_1","volume-title":"How gas turbine engines work. HowStuff Works","author":"Brain Marshall","year":"2002","unstructured":"Marshall Brain. 1998. How gas turbine engines work. HowStuff Works, Inc 2002 (1998)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2603511"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2697842"},{"key":"e_1_3_2_1_5_1","unstructured":"Dean K Frederick Jonathan A DeCastro and Jonathan S Litt. 2007. User's guide for the commercial modular aero-propulsion system simulation (C-MAPSS). (2007)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31865-1_25"},{"key":"e_1_3_2_1_7_1","volume-title":"Glenn Research Center. NASA","author":"Hall Nancy","year":"2015","unstructured":"Nancy Hall. 2015. Turbofan Engine. Glenn Research Center. NASA (2015)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711422"},{"key":"e_1_3_2_1_9_1","unstructured":"Yameen M Hussain Stephen Burrow Leigh Henson and Patrick Keogh. {n. d.}. Benefits Analysis of Prognostics & Health Monitoring to Aircraft Maintenance using System Dynamics. ({n. d.})."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2016.2570568"},{"key":"e_1_3_2_1_11_1","volume-title":"2016 International Joint Conference on Neural Networks (IJCNN). 1746--1753","author":"Lim P.","unstructured":"P. Lim, C. K. Goh, and K. C. Tan. 2016. A time window neural network based framework for Remaining Useful Life estimation. In 2016 International Joint Conference on Neural Networks (IJCNN). 1746--1753."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2017.08.863"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2015.02.001"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/2207822"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2014.02.006"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cam.2018.07.008"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711423"},{"key":"e_1_3_2_1_18_1","unstructured":"David Martin Powers. 2011. Evaluation: from precision recall and F-measure to ROC informedness markedness and correlation. (2011)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2004.08.001"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711414"},{"key":"e_1_3_2_1_21_1","volume-title":"Remaining useful life estimation-a review on the statistical data driven approaches. European journal of operational research 213, 1","author":"Si Xiao-Sheng","year":"2011","unstructured":"Xiao-Sheng Si, Wenbin Wang, Chang-Hua Hu, and Dong-Hua Zhou. 2011. Remaining useful life estimation-a review on the statistical data driven approaches. European journal of operational research 213, 1 (2011), 1--14."},{"key":"e_1_3_2_1_22_1","volume-title":"A novel soft computing method for engine RUL prediction. Multimedia Tools and Applications","author":"Singh Sandip Kumar","year":"2017","unstructured":"Sandip Kumar Singh, Sandeep Kumar, and JP Dwivedi. 2017. A novel soft computing method for engine RUL prediction. Multimedia Tools and Applications (2017), 1--23."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.microrel.2017.06.045"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2011.10.019"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/PHM.2008.4711421"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2013.05.021"},{"key":"e_1_3_2_1_27_1","volume-title":"2016 Prognostics and System Health Management Conference (PHM-Chengdu). 1--7.","author":"Yang Z.","unstructured":"Z. Yang, P. Baraldi, and E. Zio. 2016. A comparison between extreme learning machine and artificial neural network for remaining useful life prediction. In 2016 Prognostics and System Health Management Conference (PHM-Chengdu). 1--7."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2017.7998311"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2008.06.002"}],"event":{"name":"SAC '19: The 34th ACM\/SIGAPP Symposium on Applied Computing","location":"Limassol Cyprus","acronym":"SAC '19","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"]},"container-title":["Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297280.3297363","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3297280.3297363","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:15Z","timestamp":1750208535000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297280.3297363"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,8]]},"references-count":29,"alternative-id":["10.1145\/3297280.3297363","10.1145\/3297280"],"URL":"https:\/\/doi.org\/10.1145\/3297280.3297363","relation":{},"subject":[],"published":{"date-parts":[[2019,4,8]]},"assertion":[{"value":"2019-04-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}