Nothing Special   »   [go: up one dir, main page]

Yang et al., 2020 - Google Patents

Prediction of aging degree of oil-paper insulation based on Raman spectroscopy and fuzzy neural network

Yang et al., 2020

Document ID
5366428114829155770
Author
Yang D
Zhou Y
Wang Z
Zhang R
Song R
et al.
Publication year
Publication venue
2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)

External Links

Snippet

In this paper, a method based on Raman spectroscopy to diagnose the aging degree of oil- paper insulation is discussed. According to IEEE guidelines, oil-paper insulation samples were prepared in the laboratory, and the degree of polymerization values of the samples …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G01N21/3581Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light using far infra-red light; using Terahertz radiation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/26Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
    • G01N33/28Oils, i.e. hydrocarbon liquids

Similar Documents

Publication Publication Date Title
Fan et al. FDS measurement-based moisture estimation model for transformer oil-paper insulation including the aging effect
Yang et al. Identification of the aging stage of transformer oil-paper insulation via Raman spectroscopic characteristics
Gao et al. Quantitative evaluation of ageing condition of oil-paper insulation using frequency domain characteristic extracted from modified cole-cole model
Zhang et al. Aging state assessment of transformer cellulosic paper insulation using multivariate chemical indicators
Diwyacitta et al. Study on Correlation Among Oil Dielectric Characteristics, Dissolved Gases, and Operating Life of 150 kV Power Transformer.
CN112485609A (en) Raman spectrum diagnosis method for insulation aging of transformer oil paper
Yang et al. Prediction of aging degree of oil-paper insulation based on Raman spectroscopy and fuzzy neural network
Alshehawy et al. Evaluating the impact of aging in field transformer oil using optical spectroscopy techniques
Mi et al. Electrothermal aging characteristics of epoxy resin under bipolar exponential decay pulse voltage and its insulation life evaluation based on Cole-Cole model
Malik et al. Make use of DGA to carry out the transformer oil-immersed paper deterioration condition estimation with fuzzy-logic
Liao et al. A method for discriminating the moisture status of OIP bushing based on Dissado-hill and GWO-HMM model
Yang et al. A novel recognition method of aging stage of transformer oil-paper insulation using Raman spectroscopic recurrence plots
Li et al. Aging assessment of oil-impregnated-paper electrical equipment via near infrared spectroscopy powered by improved PCA-RBF-NN: Modelling and field practices
Song et al. Transformer aging diagnosis method based on Raman spectroscopy Wavelet Packet-SPCA feature extraction
Fan et al. Moisture evaluation of oil-immersed insulation in bushing based on frequency domain spectroscopy and grey relational analysis
Raj et al. Fuzzy logic-based spectroscopic analysis for condition assessment of distribution transformers
Goh et al. Study on Lifespan Prediction of Oil–Paper Bushing Considering the Influence of Moisture-Accelerated Aging
Liu et al. Two-stage residual lifespan prediction model for oil-paper insulation based on analysis of furfural and methanol in oil
Jiang et al. Research Progress and Prospect of Condition Assessment Techniques for Oil–Paper Insulation Used in Power Systems: A Review
Li et al. Gaussian process regression for quantitative degree of polymerization analysis of oil-paper insulation by EPO-NIRS: A solution to field moisture
Elele et al. Towards Intrusive Non-Destructive Online Ageing Detection of Transformer Oil Leveraging Bootsrapped Machine Learning Models
Yang et al. Research on aging diagnosis of oil-paper insulation based on Raman spectroscopy with extended data
Rhamadhan et al. Estimating the DP Value of the Paper Insulation of Oil-Filled Power Transformers Using an ANFIS Algorithm
Jiang et al. Microscopic mechanisms analysis of various dielectric response processes in oil‐paper insulation with different insulating states
Yao et al. Moisture determination of the main insulation in a transformer by frequency‐domain spectroscopy