Abstract
According to the requirement of gas chromatography identification in transformer oil of substation, an adaptive threshold chromatographic identification algorithm is designed. Traditional first derivative method only uses slope threshold to recognize chromatographic peaks, so the degree of automation is low and it is easy to be distorted. In view of these shortcomings, this paper improves the first derivative method. Based on the data pre-processing and peak identification algorithm, the appropriate threshold is determined, and the peaks are identified by combining the peak curves and the characteristics of the standard gas. Since the threshold parameter of the algorithm can be fixed, the overlapping peak detection is less affected by human influence, and further improves the accuracy of chromatographic identification.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Zou S, Tong X, Qi L (2003) Development of transformer online monitoring technology. Autom Power Syst 27(25):61
Li H, Zhou F, Tan K (2005) Fourier infrared quantitative analysis for online monitoring of transformers. Autom Power Syst 29(18):62
Wei H, Lin L, Zhang Y (2013) Application of grey system theory in pattern recognition of chromatographic fingerprints of traditional Chinese medicine. Chin J Chromatogr 31(2):127
Liu M, Xia B, Yang J (2009) Automated chromatogram analysis—automatic identification and rapid resolution of spectral peaks. Chin J Chromatogr 27(3):351
Luo W, Tang L, Zhang Y (2010) Design of embedded peak recognition algorithm in portable gas chromatograph. Chin J Chromatogr 29(12):1216
Zhao W, Wang H, Qiu J et al (2014) Analysis of dynamic reliability of transformer based on monitoring data of oil chromatography. Autom Electr Power Syst 38(22):38–42. https://doi.org/10.7500/aeps20130802007
Zhang Z, Xiao D (2007) A small vacuum on-line extraction technology for the automatic chromatographic analysis of gas dissolved in insulating oil. Autom Electr Power Syst 31(11):92–96
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, G., Xia, G., Zhang, Q. (2020). A Chromatographic Recognition Algorithm Based on Adaptive Threshold in Substation. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Lecture Notes in Electrical Engineering, vol 585. Springer, Singapore. https://doi.org/10.1007/978-981-13-9783-7_37
Download citation
DOI: https://doi.org/10.1007/978-981-13-9783-7_37
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9782-0
Online ISBN: 978-981-13-9783-7
eBook Packages: EnergyEnergy (R0)