Pre-processing approach for de-noising on-line oil chromatography data based on self-adapting wavelet analysis

Pre-processing approach for de-noising on-line oil chromatography data based on self-adapting wavelet analysis

Due to the influence of the external environment and the performance of measuring equipment, the on-line oil chromatography data contains obvious noise which makes the signal to oscillate. The monitoring data is difficult to be directly applied to the equipment state analysis. A novel wavelet-based...

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Bibliographic Details
Main Authors: Chunyan Gong, Wei Hu, Xiaohong Wu, Bing Lu, Yiming Zheng
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:The Journal of Engineering
Subjects:
wavelet transforms
chromatography
signal denoising
reactors (electric)
insulating oils
power engineering computing
novel wavelet-based denoising method
online oil chromatography data pre-processing approach
self-adapting wavelet analysis
monitoring data
equipment state analysis
decomposition layer number
probability distribution
threshold value
outlier conservation
defective UHV reactor
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8362

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8362

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