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Study of Track Irregularity Time Series Calibration and Variation Pattern at Unit Section.
- Source :
-
Computational Intelligence & Neuroscience . 2014, Vol. 2014, p1-14. 14p. - Publication Year :
- 2014
-
Abstract
- Focusing on problems existing in track irregularity time series data quality, this paper first presents abnormal data identification, data offset correction algorithm, local outlier data identification, and noise cancellation algorithms. And then proposes track irregularity time series decomposition and reconstruction through the wavelet decomposition and reconstruction approach. Finally, the patterns and features of track irregularity standard deviation data sequence in unit sections are studied, and the changing trend of track irregularity time series is discovered and described. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PATTERN recognition systems
*DATA quality
*CALIBRATION
*PROBLEM solving
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 16875265
- Volume :
- 2014
- Database :
- Academic Search Index
- Journal :
- Computational Intelligence & Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 100517484
- Full Text :
- https://doi.org/10.1155/2014/727948