{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:36:38Z","timestamp":1742938598195,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030580070"},{"type":"electronic","value":"9783030580087"}],"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\/978-3-030-58008-7_12","type":"book-chapter","created":{"date-parts":[[2020,8,15]],"date-time":"2020-08-15T08:03:38Z","timestamp":1597478618000},"page":"146-157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["IIoT-Based Prognostic Health Management Using a Markov Decision Process Approach"],"prefix":"10.1007","author":[{"given":"Khadija","family":"Berhili","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed-Amine","family":"Koulali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yahya","family":"Berrehili","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,16]]},"reference":[{"issue":"1","key":"12_CR1","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1109\/TCAPT.2006.870387","volume":"29","author":"NM Vichare","year":"2006","unstructured":"Vichare, N.M., Pecht, M.G.: Prognostics and health management of electronics. IEEE Trans. Compon. Packag. Technol. 29(1), 222\u2013229 (2006)","journal-title":"IEEE Trans. Compon. Packag. Technol."},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Orsagh, R., Brown, D., Roemer, M., Dabnev, T., Hess, A.: Prognostic health management for avionics system power supplies. In: IEEE Aerospace Conference, pp. 3585\u20133591 (2005)","DOI":"10.21236\/ADA448885"},{"issue":"12","key":"12_CR3","doi-asserted-by":"publisher","first-page":"1857","DOI":"10.1016\/j.microrel.2007.02.014","volume":"47","author":"E Scanff","year":"2007","unstructured":"Scanff, E., Feldman, K., Ghelam, S., Sandborn, P., Glade, M., Foucher, B.: Life cycle cost impact of using prognostic health management (PHM) for helicopter avionics. Microelectron. Reliab. 47(12), 1857\u20131864 (2007)","journal-title":"Microelectron. Reliab."},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Brotherton, T., Jahns, G., Jacobs, J., Wroblewski, D.: Prognosis of faults in gas turbine engines. In: Proceedings of IEEE Aerospace Conference Proceedings, vol. 6, pp. 163\u2013171 (2000)","DOI":"10.1109\/AERO.2000.877892"},{"key":"12_CR5","unstructured":"Kirkland, L.V., Pombo, T., Nelson, K., Berghout, F.: Avionics health management: searching for the prognostics grail. In: Proceedings of IEEE Aerospace Conference, vol. 5, pp. 3448\u20133454 (2004)"},{"key":"12_CR6","unstructured":"Wilkinson, C., Humphrey, D., Vermeire, B., Houston, J.: Prognostic and health management for avionics. In: Proceedings of IEEE Aerospace Conference, vol. 5, pp. 3435\u20133447 (2004)"},{"key":"12_CR7","unstructured":"Gertsbakh, I.B.: Models of preventive maintenance (1977)"},{"issue":"7","key":"12_CR8","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.1016\/j.ymssp.2005.09.012","volume":"20","author":"AK Jardine","year":"2006","unstructured":"Jardine, A.K., Lin, D., Banjevic, D.: A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech. Syst. Sig. Process. 20(7), 1483\u20131510 (2006)","journal-title":"Mech. Syst. Sig. Process."},{"issue":"1\u20134","key":"12_CR9","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/s00170-009-2482-0","volume":"50","author":"Y Peng","year":"2010","unstructured":"Peng, Y., Dong, M., Zuo, M.J.: Current status of machine prognostics in condition-based maintenance: a review. Int. J. Adv. Manuf. Technol. 50(1\u20134), 297\u2013313 (2010)","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"12_CR10","series-title":"Springer Series in Wireless Technology","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-42559-7_1","volume-title":"Industrial Internet of Things","author":"S Jeschke","year":"2017","unstructured":"Jeschke, S., Brecher, C., Meisen, T., \u00d6zdemir, D., Eschert, T.: Industrial internet of things and cyber manufacturing systems. In: Jeschke, S., Brecher, C., Song, H., Rawat, D.B. (eds.) Industrial Internet of Things. SSWT, pp. 3\u201319. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-42559-7_1"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Sadeghi, A.-R., Wachsmann, C., Waidner, M.: Security and privacy challenges in industrial internet of things. In: 2015 52nd ACM\/EDAC\/IEEE Proceedings of Design Automation Conference (DAC), pp. 1\u20136 (2015)","DOI":"10.1145\/2744769.2747942"},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.comnet.2016.01.009","volume":"101","author":"MS Hossain","year":"2016","unstructured":"Hossain, M.S., Muhammad, G.: Cloud-assisted industrial internet of things (IIOT)-enabled framework for health monitoring. Comput. Netw. 101, 192\u2013202 (2016)","journal-title":"Comput. Netw."},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Serpanos, D., Wolf, M.: Industrial internet of things. In: Internet-of-Things (IoT) Systems, pp. 37\u201354 (2018)","DOI":"10.1007\/978-3-319-69715-4_5"},{"key":"12_CR14","doi-asserted-by":"publisher","first-page":"3659","DOI":"10.1109\/ACCESS.2016.2587754","volume":"4","author":"D Kwon","year":"2016","unstructured":"Kwon, D., Hodkiewicz, M.R., Fan, J., Shibutani, T., Pecht, M.G.: IoT-based prognostics and systems health management for industrial applications. IEEE Access 4, 3659\u20133670 (2016)","journal-title":"IEEE Access"},{"key":"12_CR15","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.procir.2014.02.001","volume":"16","author":"J Lee","year":"2014","unstructured":"Lee, J., Kao, H.-A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Proc. CIRP 16, 3\u20138 (2014)","journal-title":"Proc. CIRP"},{"key":"12_CR16","series-title":"Springer Series in Wireless Technology","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/978-3-319-42559-7_19","volume-title":"Industrial Internet of Things","author":"D Sonntag","year":"2017","unstructured":"Sonntag, D., Zillner, S., van der Smagt, P., L\u00f6rincz, A.: Overview of the CPS for smart factories project: deep learning, knowledge acquisition, anomaly detection and intelligent user interfaces. In: Jeschke, S., Brecher, C., Song, H., Rawat, D.B. (eds.) Industrial Internet of Things. SSWT, pp. 487\u2013504. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-42559-7_19"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1109\/ACCESS.2017.2771827","volume":"6","author":"A Xanthopoulos","year":"2017","unstructured":"Xanthopoulos, A., Kiatipis, A., Koulouriotis, D., Stieger, S.: Reinforcement learning-based and parametric production-maintenance control policies for a deteriorating manufacturing system. IEEE Access 6, 576\u2013588 (2017)","journal-title":"IEEE Access"},{"issue":"4","key":"12_CR18","doi-asserted-by":"publisher","first-page":"2039","DOI":"10.1109\/TII.2017.2670505","volume":"13","author":"J Wan","year":"2017","unstructured":"Wan, J., Tang, S., Li, D., Wang, S., Liu, C., Abbas, H., Vasilakos, A.V.: A manufacturing big data solution for active preventive maintenance. IEEE Trans. Ind. Inform. 13(4), 2039\u20132047 (2017)","journal-title":"IEEE Trans. Ind. Inform."},{"key":"12_CR19","doi-asserted-by":"publisher","first-page":"17190","DOI":"10.1109\/ACCESS.2018.2809681","volume":"6","author":"H Yan","year":"2018","unstructured":"Yan, H., Wan, J., Zhang, C., Tang, S., Hua, Q., Wang, Z.: Industrial big data analytics for prediction of remaining useful life based on deep learning. IEEE Access 6, 17190\u201317197 (2018)","journal-title":"IEEE Access"},{"key":"12_CR20","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1016\/j.ress.2016.09.005","volume":"157","author":"Q Feng","year":"2017","unstructured":"Feng, Q., Bi, X., Zhao, X., Chen, Y., Sun, B.: Heuristic hybrid game approach for fleet condition-based maintenance planning. Reliab. Eng. Syst. Saf. 157, 166\u2013176 (2017)","journal-title":"Reliab. Eng. Syst. Saf."},{"issue":"4","key":"12_CR21","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1080\/0013791X.2014.940563","volume":"59","author":"F Fathi Aghdam","year":"2014","unstructured":"Fathi Aghdam, F., Liao, H.: Prognostics-based two-operator competition in proactive replacement and service parts procurement. Eng. Econ. 59(4), 282\u2013306 (2014)","journal-title":"Eng. Econ."},{"issue":"2","key":"12_CR22","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1109\/TAES.2009.5089535","volume":"45","author":"TD Batzel","year":"2009","unstructured":"Batzel, T.D., Swanson, D.C.: Prognostic health management of aircraft power generators. IEEE Trans. Aerosp. Electron. Syst. 45(2), 473\u2013482 (2009)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"12_CR23","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.ymssp.2013.06.004","volume":"42","author":"J Lee","year":"2014","unstructured":"Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L., Siegel, D.: Prognostics and health management design for rotary machinery systems - reviews, methodology and applications. Mech. Syst. Sig. Process. 42, 314\u2013334 (2014)","journal-title":"Mech. Syst. Sig. Process."},{"key":"12_CR24","volume-title":"Markov Decision Process Discrete: Stochastic Dynamic Programming","author":"ML Puterman","year":"2014","unstructured":"Puterman, M.L.: Markov Decision Process Discrete: Stochastic Dynamic Programming. Wiley, Hoboken (2014)"},{"key":"12_CR25","doi-asserted-by":"crossref","unstructured":"Krishnamurthy, V.: Structural Results for Partially Observed Markov Decision Processes (2015)","DOI":"10.1017\/CBO9781316471104"},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Sharma, N., Mastronarde, N., Chakareski, J.: Structural Properties of Optimal Transmission Policies for Delay-Sensitive Energy Harvesting Wireless Sensors. arXiv preprint arXiv:1803.09778 (2018)","DOI":"10.1109\/ICC.2018.8422092"}],"container-title":["Lecture Notes in Computer Science","Ubiquitous Networking"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58008-7_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T21:08:59Z","timestamp":1723410539000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-58008-7_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030580070","9783030580087"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58008-7_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"16 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UNet","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Ubiquitous Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limoges","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"unet2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.unet-conf.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}