Dielectric Properties Analysis of Gas Turbine Synchronous Generator by Polarization and Depolarization Current Measuremen

Phloymuk, N.; Nimsanong, P.; Phumipunepon, N.; Kittiratsatcha, S.; Pattanadech, Norasage

doi:10.1109/cmd.2018.8535879

Cited by 1 publication

(1 citation statement)

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“…The results of the execution time mean that the L1 trend filtering is also effective for the test data with the number of points lower than 40,000. For the measurement of the polarization and depolarization currents, the sampling period is also one or two seconds, and the tested time is also 1800 minutes to 18,000 minutes [28][29][30]. Therefore, the number of tested points is no more than 20,000, and the corresponding execution time is also lower than 176.67 s according to Table 2.…”

Section: Time Complexity Analysis Of L1 Trend Filteringmentioning

confidence: 99%

Application of L1 Trend Filtering Technology on the Current Time Domain Spectroscopy of Dielectrics

Suo

Sun

et al. 2019

Electronics

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The current time domain spectroscopy of dielectrics provides important information for the analysis of dielectric properties and mechanisms. However, there is always interference during the testing process, which seriously affects the analysis of the test results. Therefore, the effective filtering of current time domain spectroscopy is particularly necessary. L1 trend filtering can estimate the trend items exactly in a set of time series. It has been widely used in the fields of economics and sociology. Therefore, this paper attempts to apply L1 trend filtering to the current time domain spectroscopy. Firstly, polarization and depolarization currents are measured in the laboratory. Then the test results are filtered by L1 trend filtering and the filtering effects are compared with several common filtering algorithms, such as a sliding mean filter and Savitzky–Golay smoothing filter. Finally, the robustness and time complexity of L1 trend filtering are analyzed. The filtering results show that because the polarization currents vary in a wide range of the time domain (about 2–3 orders of magnitude), smooth and undistorted curves in the whole test time range can hardly be obtained through common filtering algorithms, while they can be obtained by L1 trend filtering. The results of robustness analysis and time complexity analysis show that L1 trend filtering can extract the trend items accurately in the time series under given different noise levels, and the execution time is also lower than 176.67 s when the number of tested points is no more than 20,000. Those results show that L1 trend filtering can be applied to the time domain current spectroscopy of dielectrics.

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Section: Time Complexity Analysis Of L1 Trend Filteringmentioning

confidence: 99%