Big Data Analysis for Sensor Time-Series in Automation

被引:0
|
作者
Jirkovsky, Vaclav [1 ,2 ]
Obitko, Marek [1 ]
Novak, Petr [2 ,3 ]
Kadera, Petr [2 ]
机构
[1] Rockwell Automat Res & Dev Ctr, Prague, Czech Republic
[2] Czech Tech Univ, CR-16635 Prague, Czech Republic
[3] Vienna Univ Technol, Christian Doppler Lab Software Engn Integrat Flex, A-1040 Vienna, Austria
关键词
PRINCIPAL COMPONENT ANALYSIS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The trend of large scale data production is observed not only within web companies, but is entering also other domains including automation domain. Smart sensors and smart devices contribute to growing amounts of data that need to be processed. An example of processing is prediction for better control, clustering for more effective maintenance, or improving the overall production in general. The so called Big Data paradigm shows new ways of handling bigger amounts of various data, including providing technologies that are able to handle them in an effective way. This paper examines the utilization of Big Data technologies for industry automation domain. The approach is illustrated on time series data measured from a passive house with the goal of detecting specific events. We show how the Big Data technologies allow data analysis that would be hard with traditional approaches.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Time-series analysis of air pollution data
    Salcedo, RLR
    Ferraz, MCMA
    Alves, CA
    Martins, FG
    ATMOSPHERIC ENVIRONMENT, 1999, 33 (15) : 2361 - 2372
  • [32] TIME-SERIES ANALYSIS OF SYPHILIS SURVEILLANCE DATA
    ZAIDI, AA
    SCHNELL, DJ
    REYNOLDS, GH
    STATISTICS IN MEDICINE, 1989, 8 (03) : 353 - 362
  • [33] THE APPLICATION OF TIME-SERIES ANALYSIS TO DATA REVISIONS
    LEFRANCOIS, B
    CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 1988, 16 : 83 - 96
  • [34] Time-series analysis if data are randomly missing
    Broersen, PMT
    Bos, R
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2006, 55 (01) : 79 - 84
  • [35] ANALYSIS OF SCANNED DATA BY METHODS OF TIME-SERIES ANALYSIS
    MEINICKE, C
    SORKAU, E
    KNOBLAUCH, S
    ZWANZIGER, HW
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 1992, 11 (01) : 8 - 10
  • [36] THE ANALYSIS OF MONITORING DATA WITH THE AID OF TIME-SERIES ANALYSIS
    VANLATESTEIJN, HC
    LAMBECK, RHD
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 1986, 7 (03) : 287 - 297
  • [37] TIME-SERIES ANALYSIS OF SPORT FISHERY DATA
    MURPHY, CO
    DUNN, JE
    BIOMETRICS, 1978, 34 (01) : 163 - 163
  • [38] EVALUATION OF DEGRADATION DATA BY TIME-SERIES ANALYSIS
    REHFELDT, TK
    PROGRESS IN ORGANIC COATINGS, 1987, 15 (03) : 261 - 268
  • [39] TIMESAT -: a program for analyzing time-series of satellite sensor data
    Jönsson, P
    Eklundh, L
    COMPUTERS & GEOSCIENCES, 2004, 30 (08) : 833 - 845
  • [40] Distance variable improvement of time-series big data stream evaluation
    Wibisono, Ari
    Mursanto, Petrus
    Adibah, Jihan
    Bayu, Wendy D. W. T.
    Rizki, May Iffah
    Hasani, Lintang Matahari
    Ahli, Valian Fil
    JOURNAL OF BIG DATA, 2020, 7 (01)