{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T11:06:53Z","timestamp":1771844813262,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T00:00:00Z","timestamp":1630972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T00:00:00Z","timestamp":1630972800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T00:00:00Z","timestamp":1630972800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,7]]},"DOI":"10.1109\/etfa45728.2021.9613574","type":"proceedings-article","created":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:13:36Z","timestamp":1638317616000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder"],"prefix":"10.1109","author":[{"given":"Bryan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Jianlin","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Toshiaki","family":"Koike-Akino","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Kyeong Jin","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Kieran","family":"Parsons","sequence":"additional","affiliation":[]},{"given":"Philip","family":"Orlik","sequence":"additional","affiliation":[]},{"given":"Jinhong","family":"Yuan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref11","first-page":"96","article-title":"Structured denoising autoencoder for fault detection and analysis","volume":"39","author":"tagawa","year":"2015","journal-title":"Proc Sixth Asian Conf Machine Learning"},{"key":"ref12","article-title":"Anomaly detection and diagnosis in manufacturing systems: A comparative study of statistical, machine learning and deep learning techniques","volume":"11","author":"singh","year":"2019","journal-title":"PHM Conference"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"102920","DOI":"10.1016\/j.cviu.2020.102920","article-title":"Video anomaly detection and localization via Gaussian mixture fully convolutional variational autoencoder","volume":"195","author":"fan","year":"2020","journal-title":"Comput Vis Image Understanding"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2019.03.012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2010.10.005"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/29.21701"},{"key":"ref17","volume":"617","author":"paarmann","year":"2006","journal-title":"Design and Analysis of Analog Filters A Signal Processing Perspective"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2003.1223670"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s150202774"},{"key":"ref6","first-page":"1","article-title":"Nearest-neighbor and clustering based anomaly detection algorithms for rapidminer","author":"amer","year":"2012","journal-title":"Proc 3rd RapidMiner Community Meeting Conf (RCOMM)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2133360.2133363"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2004.05.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2500853.2500857"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WCICA.2018.8630692"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.235"},{"key":"ref9","article-title":"Deep learning for anomaly detection: A survey","author":"chalapathy","year":"2019","journal-title":"CoRR vol abs\/1901 03407"}],"event":{"name":"2021 IEEE 26th International Conference on Emerging Technologies and Factory Automation (ETFA)","location":"Vasteras, Sweden","start":{"date-parts":[[2021,9,7]]},"end":{"date-parts":[[2021,9,10]]}},"container-title":["2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9613137\/9613141\/09613574.pdf?arnumber=9613574","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:52:32Z","timestamp":1652201552000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9613574\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,7]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/etfa45728.2021.9613574","relation":{},"subject":[],"published":{"date-parts":[[2021,9,7]]}}}