{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:52:02Z","timestamp":1743105122084,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319190655"},{"type":"electronic","value":"9783319190662"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-19066-2_67","type":"book-chapter","created":{"date-parts":[[2015,4,30]],"date-time":"2015-04-30T01:20:34Z","timestamp":1430356834000},"page":"692-701","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Particle Filter-Based Approach to Estimate Remaining Useful Life for Predictive Maintenance"],"prefix":"10.1007","author":[{"given":"Chunsheng","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingfeng","family":"Lou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Gou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Bai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,5,1]]},"reference":[{"key":"67_CR1","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.1016\/j.ymssp.2005.09.012","volume":"20","author":"A Jardine","year":"2006","unstructured":"Jardine, A., Lin, D., Banjevic, D.: A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing 20, 1483\u20131510 (2006)","journal-title":"Mechanical Systems and Signal Processing"},{"key":"67_CR2","first-page":"86","volume":"2315","author":"J Liu","year":"2009","unstructured":"Liu, J., Wang, W., Golnaraghi, F.: A multi-step predictor with a variable input pattern for system state forecasting. Mechanical Systems and Signal Processing 2315, 86\u201399 (2009)","journal-title":"Mechanical Systems and Signal Processing"},{"key":"67_CR3","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1088\/0957-0233\/18\/7\/022","volume":"18","author":"S Gupta","year":"2007","unstructured":"Gupta, S., Ray, A.: Real-time fatigue life estimation in mechanical structures. Measurement Science and Technology 18, 1947\u20131957 (2007)","journal-title":"Measurement Science and Technology"},{"key":"67_CR4","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1016\/j.engappai.2009.03.007","volume":"22","author":"S Yagiz","year":"2009","unstructured":"Yagiz, S., Gokceoglu, C., Sezer, E., Iplikci, S.: Application of two non-linear prediction tools to the estimation of tunnel boring machine performance. Engineering Applications of Artificial Intelligence 22, 808\u2013814 (2009)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"67_CR5","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1109\/TFUZZ.2008.925918","volume":"16","author":"W Wang","year":"2008","unstructured":"Wang, W., Vrbanek, J.: An evolving fuzzy predictor for industrial applications. IEEE Transactions on Fuzzy Systems 16, 1439\u20131449 (2008)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"67_CR6","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1115\/1.2893988","volume":"121","author":"P Tse","year":"1999","unstructured":"Tse, P., Atherton, D.: Prediction of machine deterioration using vibration based fault trends and recurrent neural networks. Journal of Vibration and Acoustics 121, 355\u2013362 (1999)","journal-title":"Journal of Vibration and Acoustics"},{"key":"67_CR7","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1117\/12.475507","volume":"4733","author":"DE Adams","year":"2002","unstructured":"Adams, D.E.: Nonlinear damage models for diagnosis and prognosis in structural dynamic systems. Proc. SPIE 4733, 180\u2013191 (2002)","journal-title":"Proc. SPIE"},{"key":"67_CR8","first-page":"189","volume":"1","author":"J Luo","year":"2003","unstructured":"Luo, J., et al.: An interacting multiple model approach to model-based prognostics. System Security and Assurance 1, 189\u2013194 (2003)","journal-title":"System Security and Assurance"},{"key":"67_CR9","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1115\/1.1640638","volume":"126","author":"D Chelidze","year":"2004","unstructured":"Chelidze, D., Cusumano, J.P.: A dynamical systems approach to failure prognosis. Journal of Vibration and Acoustics 126, 2\u20138 (2004)","journal-title":"Journal of Vibration and Acoustics"},{"key":"67_CR10","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/j.microrel.2010.01.006","volume":"50","author":"M Pecht","year":"2010","unstructured":"Pecht, M., Jaai, R.: A prognostics and health management roadmap for information and electronics-rich systems. Microelectronics Reliability 50, 317\u2013323 (2010)","journal-title":"Microelectronics Reliability"},{"key":"67_CR11","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1109\/TIM.2008.2005965","volume":"58","author":"B Saha","year":"2009","unstructured":"Saha, B., Goebel, K., Poll, S., Christophersen, J.: Prognostics methods for battery health monitoring using a Bayesian framework. IEEE Transactions on Instrumentation and Measurement 58, 291\u2013296 (2009)","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"67_CR12","first-page":"1","volume":"19","author":"J Liu","year":"2008","unstructured":"Liu, J., Wang, W., Golnaraghi, F., Liu, K.: Wavelet spectrum analysis for bearing fault diagnostics. Measurement Science and Technology 19, 1\u20139 (2008)","journal-title":"Measurement Science and Technology"},{"key":"67_CR13","doi-asserted-by":"publisher","first-page":"2801","DOI":"10.1109\/TIM.2008.927211","volume":"57","author":"J Liu","year":"2008","unstructured":"Liu, J., Wang, W., Golnaraghi, F.: An extended wavelet spectrum for baring fault diagnostics. IEEE Transactions on Instrumentation and Measurement 57, 2801\u20132812 (2008)","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"4","key":"67_CR14","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1016\/j.engappai.2012.02.015","volume":"25","author":"J Liu","year":"2012","unstructured":"Liu, J., Wang, W., Ma, F., Yang, Y.B., Yang, C.: A Data-Model-Fusion Prognostic Framework for Dynamic System State Forecasting. Engineering Applications of Artificial Intelligence 25(4), 814\u2013823 (2012)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"67_CR15","unstructured":"Garc\u00eda, C.M., Chalmers, J., Yang, C.: Particle filter based prognosis with application to auxiliary power unit. In: The Proceedings of the Intelligent Monitoring, Control and Security f Critical Infrastructure Systems, September 2012"},{"key":"67_CR16","unstructured":"Doucet, G.S.A.C.: On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing, pp. 197\u2013208 (2000)"},{"issue":"2","key":"67_CR17","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1109\/78.978374","volume":"50","author":"M Arulampalam","year":"2002","unstructured":"Arulampalam, M., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear\/non-gaussian bayesian tracking. Trans. Sig. Proc. 50(2), 174\u2013188 (2002). http:\/\/dx.doi.org\/10.1109\/78.978374","journal-title":"Trans. Sig. Proc."},{"key":"67_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1007\/978-3-319-07455-9_21","volume-title":"Modern Advances in Applied Intelligence","author":"C Yang","year":"2014","unstructured":"Yang, C., Lou, Q., Liu, J., Yang, Y., Bai, Y.: Particle filter-based method for prognostics with application to auxiliary power unit. In: Ali, M., Pan, J.-S., Chen, S.-M., Horng, M.-F. (eds.) IEA\/AIE 2014, Part I. LNCS, vol. 8481, pp. 198\u2013207. Springer, Heidelberg (2014)"}],"container-title":["Lecture Notes in Computer Science","Current Approaches in Applied Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-19066-2_67","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T11:35:42Z","timestamp":1674560142000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-19066-2_67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319190655","9783319190662"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-19066-2_67","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"1 May 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}