Method for detecting and eliminating data time series outlier in high-speed process data sensors
The objective is to identify and eliminate measurement errors in data time series of data sensors of high-speed processes. Fractal analysis is used to identify and eliminate outliers in data time series of data sensors of high-speed processes. The proposed method provides an accurate detection of an...
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| Auteurs principaux: | , , , , , , , , , |
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| Format: | Статья |
| Langue: | English |
| Publié: |
Praise Worthy Prize S.r.l
2018
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| Sujets: | |
| Accès en ligne: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85042023432&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=18d16427113b2130e22f41fbbec76ae5&sot=afnl&sdt=cl&cluster=scopubyr%2c%222017%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=1&citeCnt=0&searchTerm=# https://dspace.ncfu.ru:443/handle/20.500.12258/500 |
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85042023432&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=18d16427113b2130e22f41fbbec76ae5&sot=afnl&sdt=cl&cluster=scopubyr%2c%222017%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=1&citeCnt=0&searchTerm=#https://dspace.ncfu.ru:443/handle/20.500.12258/500