{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T21:01:39Z","timestamp":1761253299530,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319997063"},{"type":"electronic","value":"9783319997070"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-99707-0_43","type":"book-chapter","created":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T05:44:11Z","timestamp":1535089451000},"page":"343-350","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Heat Recovery Unit Failure Detection in Air Handling Unit"],"prefix":"10.1007","author":[{"given":"Manik","family":"Madhikermi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Narges","family":"Yousefnezhad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kary","family":"Fr\u00e4mling","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,25]]},"reference":[{"issue":"1","key":"43_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1080\/10789669.2005.10391123","volume":"11","author":"S Katipamula","year":"2005","unstructured":"Katipamula, S., Brambley, M.R.: Methods for fault detection, diagnostics, and prognostics for building systems-a review, part I. HVAC R Res. 11(1), 3\u201325 (2005)","journal-title":"HVAC R Res."},{"key":"43_CR2","first-page":"540","volume":"102","author":"WY Lee","year":"1996","unstructured":"Lee, W.Y., House, J.M., Park, C., Kelly, G.E.: Fault diagnosis of an air-handling unit using artificial neural networks. Trans. Am. Soc. Heating Refrig. Air Cond. Eng. 102, 540\u2013549 (1996)","journal-title":"Trans. Am. Soc. Heating Refrig. Air Cond. Eng."},{"key":"43_CR3","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.enbuild.2011.09.043","volume":"44","author":"Y Zhu","year":"2012","unstructured":"Zhu, Y., Jin, X., Du, Z.: Fault diagnosis for sensors in air handling unit based on neural network pre-processed by wavelet and fractal. Energy Build. 44, 7\u201316 (2012)","journal-title":"Energy Build."},{"issue":"6","key":"43_CR4","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1080\/10789669.2008.10391049","volume":"14","author":"Z Du","year":"2008","unstructured":"Du, Z., Jin, X., Yang, Y.: Wavelet neural network-based fault diagnosis in air-handling units. HVAC R Research 14(6), 959\u2013973 (2008)","journal-title":"HVAC R Research"},{"issue":"17","key":"43_CR5","doi-asserted-by":"publisher","first-page":"2667","DOI":"10.1016\/j.enconman.2003.12.008","volume":"45","author":"S Wang","year":"2004","unstructured":"Wang, S., Xiao, F.: Detection and diagnosis of AHU sensor faults using principal component analysis method. Energy Convers. Manag. 45(17), 2667\u20132686 (2004)","journal-title":"Energy Convers. Manag."},{"issue":"9","key":"43_CR6","doi-asserted-by":"publisher","first-page":"3221","DOI":"10.1016\/j.buildenv.2006.08.011","volume":"42","author":"Z Du","year":"2007","unstructured":"Du, Z., Jin, X., Wu, L.: Fault detection and diagnosis based on improved PCA with JAA method in VAV systems. Build. Environ. 42(9), 3221\u20133232 (2007)","journal-title":"Build. Environ."},{"issue":"5","key":"43_CR7","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1016\/j.enconman.2009.12.004","volume":"51","author":"Y Chen","year":"2010","unstructured":"Chen, Y., Lan, L.: Fault detection, diagnosis and data recovery for a real building heating\/cooling billing system. Energy Conver. Manag. 51(5), 1015\u20131024 (2010)","journal-title":"Energy Conver. Manag."},{"issue":"4","key":"43_CR8","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1016\/j.applthermaleng.2008.03.046","volume":"29","author":"F Xiao","year":"2009","unstructured":"Xiao, F., Wang, S., Xu, X., Ge, G.: An isolation enhanced pca method with expert-based multivariate decoupling for sensor FDD in air-conditioning systems. Appl. Therm. Eng. 29(4), 712\u2013722 (2009)","journal-title":"Appl. Therm. Eng."},{"key":"43_CR9","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.enbuild.2014.05.049","volume":"81","author":"K Yan","year":"2014","unstructured":"Yan, K., Shen, W., Mulumba, T., Afshari, A.: ARX model based fault detection and diagnosis for chillers using support vector machines. Energy Build. 81, 287\u2013295 (2014)","journal-title":"Energy Build."},{"issue":"6","key":"43_CR10","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1016\/j.ijrefrig.2006.12.012","volume":"30","author":"J Liang","year":"2007","unstructured":"Liang, J., Du, R.: Model-based fault detection and diagnosis of HVAC systems using support vector machine method. Int. J. Refrig. 30(6), 1104\u20131114 (2007)","journal-title":"Int. J. Refrig."},{"issue":"2","key":"43_CR11","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1111\/j.2517-6161.1958.tb00292.x","volume":"20","author":"DR Cox","year":"1958","unstructured":"Cox, D.R.: The regression analysis of binary sequences. J. Royal Stat. Soc. Ser. B (Methodol.) 20(2), 215\u2013242 (1958)","journal-title":"J. Royal Stat. Soc. Ser. B (Methodol.)"},{"issue":"4","key":"43_CR12","doi-asserted-by":"publisher","first-page":"912","DOI":"10.1115\/1.1962019","volume":"127","author":"J Yan","year":"2005","unstructured":"Yan, J., Lee, J.: Degradation assessment and fault modes classification using logistic regression. J. Manuf. Sci. Eng. 127(4), 912\u2013914 (2005)","journal-title":"J. Manuf. Sci. Eng."},{"issue":"5","key":"43_CR13","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1016\/S0378-7788(00)00104-3","volume":"33","author":"CA Roulet","year":"2001","unstructured":"Roulet, C.A., Heidt, F., Foradini, F., Pibiri, M.C.: Real heat recovery with air handling units. Energy Build. 33(5), 495\u2013502 (2001)","journal-title":"Energy Build."},{"issue":"2","key":"43_CR14","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1016\/j.engappai.2012.08.012","volume":"26","author":"K Fr\u00e4mling","year":"2013","unstructured":"Fr\u00e4mling, K., Holmstr\u00f6m, J., Loukkola, J., Nyman, J., Kaustell, A.: Sustainable PLM through intelligent products. Eng. Appl. Artif. Intell. 26(2), 789\u2013799 (2013)","journal-title":"Eng. Appl. Artif. Intell."}],"container-title":["IFIP Advances in Information and Communication Technology","Advances in Production Management Systems. Smart Manufacturing for Industry 4.0"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99707-0_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T15:14:08Z","timestamp":1720538048000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-99707-0_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319997063","9783319997070"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99707-0_43","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"25 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Advances in Production Management Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seoul","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apms2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.apms-conference.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":"ConfTool","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"149","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":"129","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":"87% - 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":"2.6","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":"3.3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}