Comprehensive Evaluation and Application of GIS Insulation Condition Part 1: Selection and Optimization of Insulation Condition Comprehensive Evaluation Index Based on Multi-Source Information Fusion

Abstract

How to select and optimize the evaluation indicators from many characteristic information to characterize the internal insulation condition of GIS equipment, and establish a scientific technical and economic evaluation model of insulation condition is a huge challenge needs to be addressed urgently. Motived by this purpose, this study simulates the deterioration process of four typical insulation defects in GIS to obtain the information of UHF, ultrasound, and SF 6 decomposition components excited by different degradation stages of each insulating defect simultaneously. Moreover, the operating environment conditions, running time, overhaul times, and the residual value of equipment are taken into account. Using the improved minimum-redundancy-maximum-relevance (mRMR) criterion and genetic algorithm, a comprehensive evaluation index system including the 23 evaluation indicators in three categories is established, which covers the PD hazard, SF 6 insulation performance, equipment running time and environment, and residual value. The research lays a foundation for the later construction and application of multi-source information fusion evaluation model of GIS equipment insulation condition considering economic value.

Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model

“…(1) The results/findings of this study are based on hypothesized simulation (synchronization), not reality. (2) The current research deals only with sales figures, which are regarded as the output of organizational activities, without considering substantial uncountable input factors (such as subject-, environment-, resource-, and mechanism-based views).…”

“…The extensive application of new energy vehicles (NEVs) can effectively counter such damage. Most scholars use a comprehensive evaluation method to study market potential and development models of NEVs [2,3]. At present, research is mainly carried out from two perspectives: technology and environmental protection characteristics of NEVs and market performance, both of which are inseparable from policy effect analysis [4].…”

“…(1) Most current research focuses on the group of new energy vehicle manufacturers, so researchers need to pay more attention to individual enterprises. (2) Few studies have been conducted on the interaction between enterprises. The competition and synergy between different enterprises in an industry is a popular issue in industry research.…”

“…The research highlights of this paper are as follows: (1) The moving logistic model represents a new method to measure the growth mechanism of enterprises. (2) Using the moving logistic model, the intrinsic growth rate, internal inhibition coefficient, and theoretical upper limit of sales volume of enterprises can be calculated. (3) Based on the synchronization effect and coupling parameter values, the symbiotic characteristics of enterprise population can be summarized.…”

Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

“…The success of information fusion techniques has revolutionized the challenging and vitally important applications of modeling natural hazards [131]. In this context, the fusion of multiple sources of data using ML techniques has been reported as an effective tool to greatly contribute to increasing the accuracy of the prediction models [132,133,134,135].…”