{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:21:51Z","timestamp":1764937311831,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030862602"},{"type":"electronic","value":"9783030862619"}],"license":[{"start":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T00:00:00Z","timestamp":1630540800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,9,2]],"date-time":"2021-09-02T00:00:00Z","timestamp":1630540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-86261-9_18","type":"book-chapter","created":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T13:04:13Z","timestamp":1630501453000},"page":"179-189","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Service-Oriented Architecture for Data-Driven Fault Detection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9419-7750","authenticated-orcid":false,"given":"Marta","family":"Fernandes","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4338-7239","authenticated-orcid":false,"given":"Alda","family":"Canito","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8558-6992","authenticated-orcid":false,"given":"Daniel","family":"Mota","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2829-1829","authenticated-orcid":false,"given":"Juan Manuel","family":"Corchado","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4417-8401","authenticated-orcid":false,"given":"Goreti","family":"Marreiros","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,2]]},"reference":[{"issue":"9","key":"18_CR1","doi-asserted-by":"publisher","first-page":"1670","DOI":"10.1177\/0954405415601640","volume":"231","author":"S Selcuk","year":"2017","unstructured":"Selcuk, S.: Predictive maintenance, its implementation and latest trends. Proc. Inst. Mech. Eng., B: J. Eng. Manuf. 231(9), 1670\u20131679 (2017). https:\/\/doi.org\/10.1177\/0954405415601640","journal-title":"Proc. Inst. Mech. Eng., B: J. Eng. Manuf."},{"key":"18_CR2","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/j.ijinfomgt.2014.05.002","volume":"34","author":"MG Aboelmaged","year":"2014","unstructured":"Aboelmaged, M.G.: Predicting e-readiness at firm-level: an analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms. Int. J. Inf. Manage. 34, 639\u2013651 (2014). https:\/\/doi.org\/10.1016\/j.ijinfomgt.2014.05.002","journal-title":"Int. J. Inf. Manage."},{"key":"18_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84996-205-6","volume-title":"E-maintenance","year":"2010","unstructured":"Holmberg, K., Adgar, A., Arnaiz, A., Jantunen, E., Mascolo, J., Mekid, S. (eds.): E-maintenance. Springer London, London (2010). https:\/\/doi.org\/10.1007\/978-1-84996-205-6"},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"2213","DOI":"10.1109\/JSYST.2019.2905565","volume":"13","author":"W Zhang","year":"2019","unstructured":"Zhang, W., Yang, D., Wang, H.: Data-driven methods for predictive maintenance of industrial equipment: a survey. IEEE Syst. J. 13, 2213\u20132227 (2019). https:\/\/doi.org\/10.1109\/JSYST.2019.2905565","journal-title":"IEEE Syst. J."},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.1016\/J.YMSSP.2005.09.012","volume":"20","author":"AKS Jardine","year":"2006","unstructured":"Jardine, A.K.S., Lin, D., Banjevic, D.: A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech. Syst. Signal Process. 20, 1483\u20131510 (2006). https:\/\/doi.org\/10.1016\/J.YMSSP.2005.09.012","journal-title":"Mech. Syst. Signal Process."},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ymssp.2015.02.016","volume":"62","author":"MS Kan","year":"2015","unstructured":"Kan, M.S., Tan, A.C.C., Mathew, J.: A review on prognostic techniques for non-stationary and non-linear rotating systems. Mech. Syst. Signal Process. 62, 1\u201320 (2015). https:\/\/doi.org\/10.1016\/j.ymssp.2015.02.016","journal-title":"Mech. Syst. Signal Process."},{"key":"18_CR7","doi-asserted-by":"publisher","unstructured":"Qin, S.J.: Data-driven fault detection and diagnosis for complex industrial processes. In: IFAC Proceedings Volumes, pp. 1115\u20131125. Elsevier (2009). https:\/\/doi.org\/10.3182\/20090630-4-es-2003.00184","DOI":"10.3182\/20090630-4-es-2003.00184"},{"key":"18_CR8","first-page":"1","volume":"1","author":"A Arsanjani","year":"2004","unstructured":"Arsanjani, A.: Service-oriented modeling and architecture. IBM Dev. Work. 1, 1\u201315 (2004)","journal-title":"IBM Dev. Work."},{"key":"18_CR9","unstructured":"Group, T.O.: Soa Source Book (TOGAF Series). Van Haren Publishing (2009)"},{"issue":"3-4","key":"18_CR10","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/s00450-016-0337-0","volume":"32","author":"O Zimmermann","year":"2016","unstructured":"Zimmermann, O.: Microservices tenets. Comput. Sci. Res. Dev. 32(3\u20134), 301\u2013310 (2016). https:\/\/doi.org\/10.1007\/s00450-016-0337-0","journal-title":"Comput. Sci. Res. Dev."},{"key":"18_CR11","doi-asserted-by":"publisher","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation forest. In: Proceedings \u2013 IEEE International Conference on Data Mining, ICDM, pp. 413\u2013422 (2008). https:\/\/doi.org\/10.1109\/ICDM.2008.17","DOI":"10.1109\/ICDM.2008.17"},{"key":"18_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2133360.2133363","volume":"6","author":"FT Liu","year":"2012","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation-based anomaly detection. ACM Trans. Knowl. Discov. Data. 6, 1\u201339 (2012). https:\/\/doi.org\/10.1145\/2133360.2133363","journal-title":"ACM Trans. Knowl. Discov. Data."},{"key":"18_CR13","unstructured":"Zato: https:\/\/zato.io\/. Accessed 28 May 2021"},{"key":"18_CR14","unstructured":"Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, pp. 226\u2013231 (1996)"},{"key":"18_CR15","doi-asserted-by":"publisher","first-page":"315","DOI":"10.2307\/1269377","volume":"36","author":"T Crosby","year":"1994","unstructured":"Crosby, T., Iglewicz, B., Hoaglin, D.C.: How to detect and handle outliers. Technometrics 36, 315 (1994). https:\/\/doi.org\/10.2307\/1269377","journal-title":"Technometrics"}],"container-title":["Lecture Notes in Networks and Systems","Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86261-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T13:22:15Z","timestamp":1630502535000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86261-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,2]]},"ISBN":["9783030862602","9783030862619"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86261-9_18","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,9,2]]},"assertion":[{"value":"2 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Distributed Computing and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salamanca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dcai2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dcai-conference.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}