{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:31:47Z","timestamp":1743136307981,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030616557"},{"type":"electronic","value":"9783030616564"}],"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\/978-3-030-61656-4_13","type":"book-chapter","created":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T16:03:54Z","timestamp":1604505834000},"page":"202-217","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Technology for Determining the Residual Life of Metal Structures Under Conditions of Combined Loading According to Acoustic Emission Measurements"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9291-4472","authenticated-orcid":false,"given":"Volodymyr","family":"Marasanov","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5027-2213","authenticated-orcid":false,"given":"Dmitry","family":"Stepanchikov","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6350-7189","authenticated-orcid":false,"given":"Artem","family":"Sharko","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6400-8528","authenticated-orcid":false,"given":"Oleksandr","family":"Sharko","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,5]]},"reference":[{"key":"13_CR1","unstructured":"Aleksenko, V., Sharko, A., Yurenin, K., Stepanchikov, D., Smetankin, S.: The influence of deformation\u2019s degree on acoustic emission signals\u2019 parameters of the steel St3sp. Mizhvuzivsky zbirnik Sci. Notes 60, 8\u201321 (2017)"},{"key":"13_CR2","doi-asserted-by":"publisher","unstructured":"Aleksenko, V., Sharko, A., Smetankin, S., Stepanchikov, D., Yurenin, K.: Detection of acoustic-emission effects during reloading of St3sp steel specimens. Tekhnicheskaya diagnostika i nerazrushayushchiy kontrol 4, 25\u201331 (2017). https:\/\/doi.org\/10.15407\/tdnk2017.04.01","DOI":"10.15407\/tdnk2017.04.01"},{"key":"13_CR3","doi-asserted-by":"publisher","unstructured":"Aleksenko, V., Sharko, A., Sharko, A., Stepanchikov, D., Yurenin, K.: Identification by ae method of structural features of deformation mechanisms at bending. Tekhnicheskaya diagnostika i nerazrushayushchiy kontrol 1, 32\u201339 (2019). https:\/\/doi.org\/10.15407\/tdnk2019.01.01","DOI":"10.15407\/tdnk2019.01.01"},{"issue":"1","key":"13_CR4","doi-asserted-by":"publisher","first-page":"70","DOI":"10.7124\/bc.00090F","volume":"32","author":"S Babichev","year":"2016","unstructured":"Babichev, S., Kornelyuk, A., Lytvynenko, V., Osypenko, V.: Computational analysis of microarray gene expression profiles of lung cancer. Biopolymers Cell 32(1), 70\u201379 (2016). https:\/\/doi.org\/10.7124\/bc.00090F","journal-title":"Biopolymers Cell"},{"issue":"4","key":"13_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5815\/ijisa.2018.04.01","volume":"10","author":"S Babichev","year":"2018","unstructured":"Babichev, S., \u0160kvor, J., Fi\u0161er, J., Lytvynenko, V.: Technology of gene expression profiles filtering based on wavelet analysis. Int. J. Intell. Syst. Appl. 10(4), 1\u20137 (2018). https:\/\/doi.org\/10.5815\/ijisa.2018.04.01","journal-title":"Int. J. Intell. Syst. Appl."},{"key":"13_CR6","doi-asserted-by":"publisher","unstructured":"Fan, Z., et al.: Structural health monitoring of metal-to-glass-ceramics penetration during thermal cycling aging using femto-laser inscribed FBG sensors. Sci. Rep. 10(1), art. no. 12330 (2020). https:\/\/doi.org\/10.1038\/s41598-020-69282-7","DOI":"10.1038\/s41598-020-69282-7"},{"key":"13_CR7","doi-asserted-by":"publisher","unstructured":"He, Y., et al.: An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems. Mech. Syst. Sig. Process. 148, art. no. 107146 (2020). https:\/\/doi.org\/10.1016\/j.ymssp.2020.107146","DOI":"10.1016\/j.ymssp.2020.107146"},{"key":"13_CR8","doi-asserted-by":"publisher","unstructured":"Khajehzadeh, M., Boostanipour, O., Reza Razfar, M.: Finite element simulation and experimental investigation of residual stresses in ultrasonic assisted turning. Ultrasonics 108, art. no. 106208 (2020). https:\/\/doi.org\/10.1016\/j.ultras.2020.106208","DOI":"10.1016\/j.ultras.2020.106208"},{"key":"13_CR9","doi-asserted-by":"publisher","unstructured":"Li, B., et al.: Prediction equation for maximum stress of concrete drainage pipelines subjected to various damages and complex service conditions. Constr. Build. Materials 264, art. no. 120238 (2020). https:\/\/doi.org\/10.1016\/j.conbuildmat.2020.120238","DOI":"10.1016\/j.conbuildmat.2020.120238"},{"issue":"1","key":"13_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40069-020-0394-4","volume":"14","author":"X Liu","year":"2020","unstructured":"Liu, X., Wang, X., Xie, K., Wu, Z., Li, F.: Bond behavior of basalt fiber-reinforced polymer bars embedded in concrete under mono-tensile and cyclic loads. Int. J. Concrete Struct. Mater. 14(1), 1\u201315 (2020). https:\/\/doi.org\/10.1186\/s40069-020-0394-4","journal-title":"Int. J. Concrete Struct. Mater."},{"key":"13_CR11","doi-asserted-by":"publisher","unstructured":"Ma, J., Zhang, H., Shi, Z., Chu, F., Gu, F., Ball, A.: Modelling acoustic emissions induced by dynamic fluid-asperity shearing in hydrodynamic lubrication regime. Tribol. Int. 153, art. no. 106590 (2021). https:\/\/doi.org\/10.1016\/j.triboint.2020.106590","DOI":"10.1016\/j.triboint.2020.106590"},{"key":"13_CR12","doi-asserted-by":"publisher","unstructured":"Marani, A., Nehdi, M.: Machine learning prediction of compressive strength for phase change materials integrated cementitious composites. Const. Build. Mater. 265, art. no. 120286 (2020). https:\/\/doi.org\/10.1016\/j.conbuildmat.2020.120286","DOI":"10.1016\/j.conbuildmat.2020.120286"},{"key":"13_CR13","doi-asserted-by":"publisher","unstructured":"Marasanov, V., Sharko, A., Stepanchikov, D.: Model of the operator dynamic process of acoustic emission occurrence while of materials deforming. lecture notes in computational intelligence and decision making. In: Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2019. Advances in Intelligent Systems and Computing, vol. 1020, pp. 48\u201364 (2020). https:\/\/doi.org\/10.1007\/978-3-030-26474-1_4","DOI":"10.1007\/978-3-030-26474-1_4"},{"key":"13_CR14","doi-asserted-by":"publisher","unstructured":"Mirgal, P., Pal, J., Banerjee, S.: Online acoustic emission source localization in concrete structures using iterative and evolutionary algorithms. Ultrasonics 108, art. no. 106211 (2020). https:\/\/doi.org\/10.1016\/j.ultras.2020.106211","DOI":"10.1016\/j.ultras.2020.106211"},{"key":"13_CR15","unstructured":"Mossakovsky, V., Makarenkov, A., Nikitin, P.: The strength of rocket structures. Vyssh. shk., Moscow (1990)"},{"key":"13_CR16","doi-asserted-by":"publisher","unstructured":"Moussa, G., Owais, M.: Pre-trained deep learning for hot-mix asphalt dynamic modulus prediction with laboratory effort reduction. Constr. Build. Mater. 265, art. no. 120239 (2020). https:\/\/doi.org\/10.1016\/j.conbuildmat.2020.120239","DOI":"10.1016\/j.conbuildmat.2020.120239"},{"key":"13_CR17","doi-asserted-by":"publisher","unstructured":"Muravev, V., Tapkov, K.: Evaluation of strain-stress state of the rails in the production. Devices Methods Measur. 8(3), 263\u2013270 (2017). https:\/\/doi.org\/10.21122\/2220-9506-2017-8-3-263-270","DOI":"10.21122\/2220-9506-2017-8-3-263-270"},{"key":"13_CR18","doi-asserted-by":"publisher","unstructured":"Nazari, S., Bahiraei, M., Moayedi, H., Safarzadeh, H.: A proper model to predict energy efficiency, exergy efficiency, and water productivity of a solar still via optimized neural network. J. Clean. Prod. 277, art. no. 123232 (2020). https:\/\/doi.org\/10.1016\/j.jclepro.2020.123232","DOI":"10.1016\/j.jclepro.2020.123232"},{"issue":"2","key":"13_CR19","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1134\/S1061830917020036","volume":"53","author":"VV Nosov","year":"2017","unstructured":"Nosov, V.V., Zelenskii, N.A.: Estimating the strength of welded hull elements of a submersible based on the micromechanical model of temporal dependences of acoustic-emission parameters. Russian J. Nondestructive Test. 53(2), 89\u201395 (2017). https:\/\/doi.org\/10.1134\/S1061830917020036","journal-title":"Russian J. Nondestructive Test."},{"key":"13_CR20","doi-asserted-by":"publisher","unstructured":"Oz, F., Calik, E., Ersoy, N.: Finite element analysis and acoustic emission monitoring of progressive failure of corrugated core composite structures. Composite Struct. 253, art. no 112775 (2020). https:\/\/doi.org\/10.1016\/j.compstruct.2020.112775","DOI":"10.1016\/j.compstruct.2020.112775"},{"key":"13_CR21","doi-asserted-by":"publisher","unstructured":"Xu, G., Hou, D., Qi, H., Bo, L.: High-speed train wheel set bearing fault diagnosis and prognostics: a new prognostic model based on extendable useful life. Mech. Syst. Sig. Process. 146, art. no. 107050 (2021). https:\/\/doi.org\/10.1016\/j.ymssp.2020.107050","DOI":"10.1016\/j.ymssp.2020.107050"},{"key":"13_CR22","doi-asserted-by":"publisher","unstructured":"Yang, K., et al.: Enhanced extra-long life fatigue resistance of a bimodal titanium alloy by laser shock peening. Int. J. Fatigue 141, art. no. 105868 (2020). https:\/\/doi.org\/10.1016\/j.ijfatigue.2020.105868","DOI":"10.1016\/j.ijfatigue.2020.105868"},{"key":"13_CR23","doi-asserted-by":"publisher","unstructured":"Yang, S., Yuan, H., Zeng, W., Guo, H.: Chemo-thermo-mechanical modeling of EB-PVD TBC failure subjected to isothermal and cyclic thermal exposures. Int. J. Fatigue 141, art. no. 105817 (2020). https:\/\/doi.org\/10.1016\/j.ijfatigue.2020.105817","DOI":"10.1016\/j.ijfatigue.2020.105817"},{"issue":"2","key":"13_CR24","first-page":"350","volume":"22","author":"T Zagidulin","year":"2017","unstructured":"Zagidulin, T., Zagidulin, R., Osipov, K.: On prediction of metal structure destruction on the basis of complex acoustic-emission and magnetic study. Bull. Bashkir Univ. Math. Mech. Phys. 22(2), 350\u2013358 (2017)","journal-title":"Bull. Bashkir Univ. Math. Mech. Phys."}],"container-title":["Communications in Computer and Information Science","Data Stream Mining &amp; Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61656-4_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T18:20:45Z","timestamp":1619288445000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-61656-4_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030616557","9783030616564"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61656-4_13","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":"5 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DSMP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Data Stream Mining and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lviv","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ukraine","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":"21 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dsmp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/dsmp.in.ua\/","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":"easyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"134","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":"36","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":"0","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":"27% - 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":"7","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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}