☆ 4.6 Article

Feature Extraction of Oil-Paper Insulation Raman Spectroscopy Based on Manifold Dimension Transformation

APPLIED SCIENCES-BASEL (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Electrical & Electronic

Transformer Aging Diagnosis Method Based on Raman Spectroscopy Wavelet Packet-SPCA Feature Extraction

Ruimin Song et al.

Summary: In this article, thermal accelerated aging experiments were conducted to obtain oil-paper insulation samples with different aging states. Raman spectroscopy was used to measure the spectra of the samples and sparse principal component analysis was applied to extract features and establish a diagnosis model for aging states. The results showed that the accuracy of the diagnosis model reached 94.9%. Validation on samples from transformers in operation confirmed the effectiveness of the method. This method is of practical significance for quickly detecting the aging states of operating transformers.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2023)

Add to Collection

Article Construction & Building Technology

Predicting resilient modulus of flexible pavement foundation using extreme gradient boosting based optimised models

Reza Sarkhani Benemaran et al.

Summary: Resilient modulus (M-R) is crucial in the evaluation and design of flexible pavement foundations. Traditional experiment-based methods for determining M-R are time-consuming and expensive. In this study, an extreme gradient boosting-based (XGB) model is proposed to predict the resilient modulus of flexible pavement foundations. The model is optimized using various optimization methods and a large database. The results show that the proposed method accurately predicts the M-R of flexible pavement foundations.

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Rapid Identification of Foodborne Pathogens in Limited Resources Settings Using a Handheld Raman Spectroscopy Device

Cid Ramon Gonzalez-Gonzalez et al.

Summary: This study presents a practical method for identifying foodborne pathogenic bacteria using a Raman handheld device. The method is simple, low-cost, and achieves high accuracy in identifying monocultures in a shorter time.

APPLIED SCIENCES-BASEL (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Raman spectrum feature extraction and diagnosis of oil-paper insulation ageing based on kernel principal component analysis

Dingkun Yang et al.

Summary: This study further investigated the feature extraction and ageing diagnosis methods of oil-paper insulation Raman spectroscopy data using kernel principal component analysis and back-propagation neural network. The proposed method achieves a diagnostic accuracy of 91.43% in diagnosing the ageing state of oil-paper insulation, providing an effective and feasible method for ageing assessment of oil-immersed electrical equipment.

HIGH VOLTAGE (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Express Analysis of Gas With Surface Enhanced Raman Scattering Waveguide Resonator

Maksim N. Khannanov et al.

Summary: The research investigated various aspects of surface enhanced Raman scattering amplification in gases and liquids utilizing active Raman enhancing surfaces and waveguide resonators. A portable express gas analyzer based on a surface-enhanced waveguide resonator was developed, showing superior measurement speed and stability compared to traditional technology. The study highlights the differences in Raman scattering amplification between gases and liquids and provides a practical example of the proposed system in action.

IEEE SENSORS JOURNAL (2021)

Add to Collection

Article Engineering, Electrical & Electronic

A Few-shot Learning Method for Aging Diagnosis of Oil-paper Insulation by Raman Spectroscopy Based on Graph Theory

Zewei Wang et al.

Summary: In this study, a diagnostic model for aging of oil-paper insulation using Raman spectroscopy and graph convolutional neural network (GCN) was established with a high diagnostic accuracy of 95.5%. This method provides a theoretical basis for assessing the aging state of transformer oil-paper insulation with a small number of training samples.

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Aging Assessment of Oil-Paper Insulation Based on Visional Recognition of the Dimensional Expanded Raman Spectra

Ruimin Song et al.

Summary: Detecting insulation performance through testing Raman spectroscopy of transformer oil is noninvasive and shows great promise in on-site diagnosis. The method proposed in this article has the potential to provide accurate determination for diagnosing oil-immersed transformers' aging conditions.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Raman Spectrum Characteristics and Aging Diagnosis of Oil-paper Insulation with Different Oil-paper Ratios

Yongkuo Zhou et al.

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Identification of the Aging Stage of Transformer Oil-Paper Insulation via Raman Spectroscopic Characteristics

Dingkun Yang et al.

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION (2020)

Add to Collection

Article Computer Science, Information Systems

Recognition of Aging Stage of Oil-Paper Insulation Based on Surface Enhanced Raman Scattering and Kernel Entropy Component Analysis

Dingkun Yang et al.

IEEE ACCESS (2019)

Add to Collection

Article Geochemistry & Geophysics

GPU Parallel Implementation of Isometric Mapping for Hyperspectral Classification

Wan Li et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)

Add to Collection

Article Energy & Fuels

Raman Spectral Characteristics of Oil-Paper Insulation and Its Application to Ageing Stage Assessment of Oil-Immersed Transformers

Jingxin Zou et al.

ENERGIES (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Analysis of Furfural Dissolved in Transformer Oil Based on Confocal Laser Raman Spectroscopy

Weigen Chen et al.

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION (2016)

Add to Collection

Article Engineering, Electrical & Electronic

The Effects of Insulating Oil Replacement Upon Power Transformer Condition Assessment

Ruijin Liao et al.

ELECTRIC POWER COMPONENTS AND SYSTEMS (2015)

Add to Collection

Article Engineering, Electrical & Electronic

An Updated Model to Determine the Life Remaining of Transformer Insulation

Daniel Martin et al.

IEEE TRANSACTIONS ON POWER DELIVERY (2015)

Add to Collection

Article Engineering, Electrical & Electronic

Investigation of characteristic parameters for condition evaluation of transformer oil-paper insulation using frequency domain spectroscopy

Youyuan Wang et al.

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2015)

Add to Collection

Review Engineering, Electrical & Electronic

Review of modern diagnostic techniques for assessing insulation condition in aged transformers

TK Saha

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION (2003)

Add to Collection

© Peeref 2019-2024. All rights reserved.