Digital signal processing of time domain field simulation results using the system identification method

1994 ◽  
Vol 42 (4) ◽  
pp. 667-671 ◽  
Author(s):  
W. Kumpel ◽  
I. Wolff
Keyword(s):  
Signal Processing ◽  
System Identification ◽  
Digital Signal Processing ◽  
Time Domain ◽  
Digital Signal ◽  
System Identification Method ◽  
Identification Method ◽  
Field Simulation ◽  
Simulation Results

A time-domain nonlinear system identification method based on multiscale dynamic partitions

Meccanica ◽  
2010 ◽  
Vol 46 (4) ◽  
pp. 625-649 ◽  
Author(s):  
Young S. Lee ◽  
Stylianos Tsakirtzis ◽  
Alexander F. Vakakis ◽  
Lawrence A. Bergman ◽  
D. Michael McFarland
Keyword(s):  
System Identification ◽  
Nonlinear System ◽  
Time Domain ◽  
Nonlinear System Identification ◽  
System Identification Method ◽  
Identification Method

scholarly journals A novel quasi-peak-detector for time-domain EMI-measurements

2005 ◽  
Vol 2 ◽  
pp. 27-32 ◽  
Author(s):  
F. Krug ◽  
S. Braun ◽  
P. Russer
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Measurement System ◽  
Time Domain ◽  
Electromagnetic Interference ◽  
Digital Signal ◽  
Peak Detection ◽  
Peak Detector ◽  
Measurement Results ◽  
Signal Recording

Abstract. In this paper, an advanced ultra-fast, broadband time domain EMI measurement system is described. Measurements were performed in the 30–1000MHz range. The digital signal processing of EMI measurements allows to emulate in real-time the modes of conventional analogous equipment, e.g. Peak-, Average-, RMS- and Quasi-Peak- Detector. With the presented time domain measurement system the measurement time can be reduced by a factor of 10. A novel signal recording routine for time-domain EMI (TDEMI) measurements and Quasi-Peak-Detection is described. Measurement results obtained from the investigation of a drillmachine, monitor and laptop obtained with the timedomain electromagnetic interference (TDEMI) measurement system are discussed. The results obtained with the described system have been compared with measurements performed with a conventional EMI receiver.

scholarly journals Estimation of Hydrodynamic Coefficients from Results of Real Ship Sea Trials

2018 ◽  
Vol 25 (4) ◽  
pp. 65-72
Author(s):  
Daewon Kim
Keyword(s):  
Sensitivity Analysis ◽  
System Identification ◽  
Estimation Method ◽  
Trial Data ◽  
Hydrodynamic Coefficients ◽  
Sea Trial ◽  
System Identification Method ◽  
Identification Method ◽  
Regression Formula ◽  
Simulation Results

Abstract This paper suggests an estimation method for ship’s hydrodynamic coefficients, which is based on the system identification method that calculates an optimum value in a mathematical way. For the purpose of modelling existing ships, this study collects real ship sea trial data as benchmarks. Prior to the optimization, a sensitivity analysis is carried out for easy and effective optimization. The simulation results using optimized coefficients agree well with corresponding benchmarks. Following this, with various trim and draught conditions, this study suggests new estimation formulas that concern all trim and draught conditions. Simulation results applying the estimation formulas are satisfactory in regard to a corresponding benchmark, compared to a result obtained by using an existing regression formula.

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