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Data analytics to detect, isolate and predict anomalies in a vaccine production process

Data analytics to detect, isolate and predict anomalies in a vaccine production process
用于检测、隔离和预测疫苗生产过程中的异常情况的数据分析
批准号：
508330-2017
负责人：
Gopaluni, Bhushan
金额：
$1.77万
依托单位：
University of British Columbia
依托单位国家：
加拿大
项目类别：
Engage Grants Program
财政年份：
2017
资助国家：
加拿大
项目状态：
已结题
起止时间：
2017-01-01 至 2018-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640354
关键词：
Dataanalyticsdetectisolatepredict

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英文摘要
Industrial processes generate large volumes of data that are often not utilized fully. We are currently in thethroes of a major data revolution driven by the advances in machine learning and artificial intelligence. We areproposing to bring these new techniques to the process industry. Sanofi Pasteur is the largest manufacturer ofvaccines in the world. However, several processes that they use experience unexpected and unexplainedanomalous behaviours. We are proposing to use novel machine learning algorithms to analyze the data in newways and identify anomalous behaviour.
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