Characterization of system status signals for multivariate time series discretization based on frequency and amplitude variation

HIGHLIGHTS

  • who: Woonsang Baek and collaborators from the Department of System Design and Control Engineering, Ulsan National Institute of Science and Technology have published the paper: Characterization of System Status Signals for Multivariate Time Series Discretization Based on Frequency and Amplitude Variation, in the Journal: Sensors 2018, 154 of /2018/
  • what: This study investigates the performance sensitivity of two detection methods with respect to status signal characteristics of given systems: abrupt variance characteristic indicator discernable frequency and discernable index. The second objective of this study is to provide a guideline selecting appropriate labels for The authors . . .

     

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