Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Recursive Data Analysis in Large Scale Complex Systems Linköping University Electronic Press Conference Proceedings
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Title:
Recursive Data Analysis in Large Scale Complex Systems
Author:
Esko K. Juuso: Control Engineering, Faculty of Technology, University of Oulu, Finland
DOI:
10.3384/ecp171421053
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
155
Pages:
1053-1059
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Advanced data analysis is needed in practical applications in large scale complex systems. Variable speci?c data-driven solutions provide consistent levels, which can be used in compact model structures. In changing operating conditions, the recursive analysis extends the applicability of these structures in building and tuning dynamic and case-based models for complex systems since the meanings change more frequently than the interactions. The methodology provides information about uncertainty, ?uctuations and con?dence in results. The scaling approach brings temporal analysis to all measurements and features: trend indices are calculated by comparing the averages in the long and short time windows, a weighted sum of the trend index and its derivative detects the trend episodes and severity of the trend is estimated by including also the variable level in the sum. The trend episodes and temporal adaptation of the scaling functions with time are used in the early detection of changes in the operating conditions. The levels are understood as fuzzy labels and the decision making is based on fuzzy calculus. The solution is highly compact: all variables, features and indices are transformed to the range [-2, 2] and represented in natural language which is important in integrating data-driven solutions with domain expertise.

Keywords: recursive data analysis, nonlinear scaling, temporal analysis, fuzzy set systems, large scale systems

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Esko K. Juuso
Title:
Recursive Data Analysis in Large Scale Complex Systems
DOI:
http://dx.doi.org/10.3384/ecp171421053
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Esko K. Juuso
Title:
Recursive Data Analysis in Large Scale Complex Systems
DOI:
https://doi.org10.3384/ecp171421053
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Last updated: 2019-10-02