{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T20:42:35Z","timestamp":1760647355426,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030631185"},{"type":"electronic","value":"9783030631192"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-63119-2_28","type":"book-chapter","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T02:33:59Z","timestamp":1605839639000},"page":"338-350","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Haul Truck Cycle Identification Using Support Vector Machine and DBSCAN Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3006-3005","authenticated-orcid":false,"given":"Dawid","family":"Gawelski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bartosz","family":"Jachnik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1772-5740","authenticated-orcid":false,"given":"Pawel","family":"Stefaniak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1253-3149","authenticated-orcid":false,"given":"Artur","family":"Skoczylas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,11,19]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Assump\u00e7\u00e3o, M.R.P., de Medeiros, C.A.: Estudo sobre efici\u00eancia t\u00e9cnica na extra\u00e7\u00e3o de ni\u00f3bio. Revista de Ci\u00eancia & Tecnologia, 17(35), 115\u2013128","DOI":"10.15600\/2238-1252\/rct.v17n35p115-128"},{"issue":"1","key":"28_CR2","first-page":"103","volume":"10","author":"F Bakirci","year":"2014","unstructured":"Bakirci, F., Yakut, E., Demirci, A., G\u00fcnd\u00fcz, M.: Efficiency measurement in Turkish coal enterprises using data envelopment analysis and data mining. Can. Soc. Sci. 10(1), 103\u2013110 (2014)","journal-title":"Can. Soc. Sci."},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"Chamroukhi, F., Sam\u00e9, A., Aknin, P., Govaert, G.: Model-based clustering with Hidden Markov Model regression for time series with regime changes. In: The 2011 International Joint Conference on Neural Networks, pp. 2814\u20132821. IEEE (2011)","DOI":"10.1109\/IJCNN.2011.6033590"},{"issue":"3","key":"28_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 1\u201327 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"28_CR5","unstructured":"Ester, M., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, vol. 96. no. 34 (1996)"},{"key":"28_CR6","unstructured":"Frank, B., Skogh, L., Filla, R., Fr\u00f6berg, A., Alak\u00fcla, M.: On increasing fuel efficiency by operator assistant systems in a wheel loader. In: International Conference on Advanced Vehicle Technologies and Integration (VTI 2012), Changchun, China (2012)"},{"issue":"2","key":"28_CR7","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1080\/1755182X.2011.651371","volume":"27","author":"A Gustafson","year":"2013","unstructured":"Gustafson, A., Schunnesson, H., Galar, D., Kumar, U.: The influence of the operating environment on manual and automated load-haul-dump machines: a fault tree analysis. Int. J. Min. Reclam. Environ. 27(2), 75\u201387 (2013)","journal-title":"Int. J. Min. Reclam. Environ."},{"key":"28_CR8","doi-asserted-by":"publisher","unstructured":"Jakkula, B., Mandela, G., et al.: Improvement of overall equipment performance of underground mining machines- a case study. Model. Measur. Control C, 79(1) (2018). https:\/\/doi.org\/10.18280\/mmc_c.790102","DOI":"10.18280\/mmc_c.790102"},{"key":"28_CR9","doi-asserted-by":"publisher","first-page":"107111","DOI":"10.1016\/j.measurement.2019.107111","volume":"151","author":"P Krot","year":"2020","unstructured":"Krot, P., Sliwinski, P., Zimroz, R., Gomolla, N.: The identification of operational cycles in the monitoring systems of underground vehicles. Measurement 151, 107111 (2020)","journal-title":"Measurement"},{"key":"28_CR10","unstructured":"Kumar, U., Parida, A., Duffuaa, S.O., Stenstr\u00f6m, C., Galar, D.: Performance indicators and terminology for value driven maintenance. J. Qual. Maint. Eng. (2013)"},{"issue":"7","key":"28_CR11","first-page":"240","volume":"5","author":"M Mohammadi","year":"2015","unstructured":"Mohammadi, M., Rai, P., Gupta, S.: Performance measurement of mining equipment. Int. J. Emerg. Technol. Adv. Eng. 5(7), 240\u2013248 (2015)","journal-title":"Int. J. Emerg. Technol. Adv. Eng."},{"issue":"12","key":"28_CR12","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1038\/nbt1206-1565","volume":"24","author":"WS Noble","year":"2006","unstructured":"Noble, W.S.: What is a support vector machine? Nat. Biotechnol. 24(12), 1565\u20131567 (2006)","journal-title":"Nat. Biotechnol."},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Polak, M., Stefaniak, P., Zimroz, R., Wy\u0142oma\u0144ska, A., \u015aliwi\u0144ski, P., Andrzejewski, M.: Identification of loading process based on hydraulic pressure signal. In: The Conference Proceedings of 16th International Multidisciplinary Scientific Geoconference SGEM 2016, pp. 459\u2013466 (2016)","DOI":"10.5593\/SGEM2016\/B12\/S03.060"},{"key":"28_CR14","first-page":"232","volume":"5","author":"J Saari","year":"2018","unstructured":"Saari, J., Odelius, J.: Detecting operation regimes using unsupervised clustering with infected group labelling to improve machine diagnostics and prognostics. Oper. Res. Perspect. 5, 232\u2013244 (2018)","journal-title":"Oper. Res. Perspect."},{"issue":"5","key":"28_CR15","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1162\/089976600300015565","volume":"12","author":"B Sch\u00f6lkopf","year":"2000","unstructured":"Sch\u00f6lkopf, B., et al.: New support vector algorithms. Neural Comput. 12(5), 1207\u20131245 (2000)","journal-title":"Neural Comput."},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Schubert, E., et al.: DBSCAN revisited, revisited: why and how you should (still) use DBSCAN. ACM Trans. Database Syst. (TODS) 42(3), 1\u201321 (2017)","DOI":"10.1145\/3068335"},{"issue":"1","key":"28_CR17","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1109\/TR.2011.2182221","volume":"61","author":"XS Si","year":"2012","unstructured":"Si, X.S., Wang, W., Hu, C.H., Zhou, D.H., Pecht, M.G.: Remaining useful life estimation based on a nonlinear diffusion degradation process. IEEE Trans. Reliab. 61(1), 50\u201367 (2012)","journal-title":"IEEE Trans. Reliab."},{"key":"28_CR18","unstructured":"\u015aliwi\u0144ski, P., Andrzejewski, M., et al.: Selection of variables acquired by the on-board monitoring system to determine operational cycles for haul truck vehicle. In: Mueller, C., et al. (eds.) Mining Goes Digital \u00a9 2019. Taylor & Francis Group, London, ISBN 978-0-367-33604-2 (2019)"},{"key":"28_CR19","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/978-981-15-3380-8_15","volume-title":"Intelligent Information and Database Systems","author":"P Stefaniak","year":"2020","unstructured":"Stefaniak, P., Gawelski, D., Anufriiev, S., \u015aliwi\u0144ski, P.: Road-quality classification and motion tracking with inertial sensors in the deep underground mine. In: Sitek, P., Pietranik, M., Kr\u00f3tkiewicz, M., Srinilta, C. (eds.) ACIIDS 2020. CCIS, vol. 1178, pp. 168\u2013178. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-15-3380-8_15"},{"key":"28_CR20","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1016\/j.proeps.2015.08.128","volume":"15","author":"P Stefaniak","year":"2015","unstructured":"Stefaniak, P., Zimroz, R., Obuchowski, J., Sliwinski, P., Andrzejewski, M.: An effectiveness indicator for a mining loader based on the pressure signal measured at a bucket\u2019s hydraulic cylinder. Procedia Earth Planet. Sci. 15, 797\u2013805 (2015)","journal-title":"Procedia Earth Planet. Sci."},{"issue":"6","key":"28_CR21","doi-asserted-by":"publisher","first-page":"2560","DOI":"10.1016\/j.ymssp.2006.12.007","volume":"21","author":"A Widodo","year":"2007","unstructured":"Widodo, A., Yang, B.-S.: Support vector machine in machine condition monitoring and fault diagnosis. Mech. Syst. Signal Process. 21(6), 2560\u20132574 (2007)","journal-title":"Mech. Syst. Signal Process."},{"key":"28_CR22","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/978-3-319-61927-9_33","volume-title":"Advances in Condition Monitoring of Machinery in Non-Stationary Operations","author":"J Wodecki","year":"2018","unstructured":"Wodecki, J., Stefaniak, P., \u015aliwi\u0144ski, P., Zimroz, R.: Multidimensional data segmentation based on blind source separation and statistical analysis. In: Timofiejczuk, A., Chaari, F., Zimroz, R., Bartelmus, W., Haddar, M. (eds.) Advances in Condition Monitoring of Machinery in Non-Stationary Operations, pp. 353\u2013360. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-61927-9_33"}],"container-title":["Communications in Computer and Information Science","Advances in Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63119-2_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T13:55:35Z","timestamp":1710251735000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-63119-2_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030631185","9783030631192"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63119-2_28","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Da Nang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}