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12–15 Jun 2023
Ghent University, Ghent, Belgium
Europe/Vienna timezone

A novel method to find jumps in waveforms

14 Jun 2023, 10:30
30m
Ghent University, Ghent, Belgium

Ghent University, Ghent, Belgium

Oral Analysis of time series, images and video: detection, identification and prediction TIV/2 Analysis of time series, images and video: detection, identification and prediction

Speaker

Yi Tan (Tsinghua University)

Description

Because of electromagnetic interference from the environment, vacuum chamber potential fluctuations or other various reasons, the plasma diagnostic signal waveform often jumps, bringing great trouble to the data analysis. There are already some methods to achieve jump detection, such as by detecting the ratio of change over RMS, or comparing short-time Fourier transform spectrogram. However, all these methods are not intelligent enough, and require several key parameters to be given manually.
This poster proposes a jump detection method based on image recognition, which trains a neural network through a certain amount of labeled data, thus automatically finding jumps on the diagnostic signal waveform without parameters, with a fairly satisfactory level of accuracy.

Speaker's Affiliation Tsinghua University, Beijing
Member State or IGO/NGO Non-member

Primary author

Yi Tan (Tsinghua University)

Presentation materials

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