The ultra-high frequency (UHF) partial discharge (PD) monitoring is one of the most effective ways to detect insulation failure in electrical equipment. Although UHF method avoids intensive low-frequency noise, various electromagnetic interferences substation can still influence its effectiveness and reliability. Most existing denoising algorithms, however, are unable suppress different kinds noise simultaneously. Meanwhile, main focus these algorithms on degree reduction, while pay little...

Partial discharge (PD) detection and recognition are of great significance to the condition monitoring gas-insulated switchgear (GIS). In current work, ultra-high-frequency (UHF) signals induced by PD pulses measured used represent source. For classification, feature parameters need be extracted from UHF signals. Therefore, this study proposes a new extraction method that is based on S-transform (ST) singular value decomposition (SVD). generated four kinds artificial defects collected...

As one of the most important mesoscopic properties networks, community structure plays an role in cascading failures on isolated networks. However, study for understanding influences interdependent scale-free networks remains missing. In this paper, we investigate modular under inner attacks and hub from global local perspective. We mainly analyse inter-community connections coupling preferences, i.e. random communities (RCIC), assortative (ACIC) with (ACWC). find that increasing can enhance...

With the wide application of remote sensing technology in various fields, accuracy and security requirements for images (RSIs) recognition are also increasing. In recent years, due to rapid development deep learning field image recognition, RSI models based on convolution neural networks (CNNs) outperform traditional hand-craft feature techniques. However, CNNs pose issues when they show their capability accurate classification. By adding a very small variation adversarial perturbation input...

Abstract The brittleness index is a significant indicator for forecasting the characteristics of coalbed methane reservoirs. However, reservoirs susceptible to number influencing factors, including pore structure, content and fluid. Moreover, are characterized by vertical transverse isotropy anisotropy, which presents challenge accurate prediction brittleness. Accordingly, this paper new rock physics model reservoirs, based on experimental test data obtained from coal samples. This considers...

Metabolic Score for Visceral Fat (METS-VF) is commonly used as an indicator assessing visceral fat metabolism. However, the relationship between METS-VF, Bone Mineral Density (BMD), and osteoporosis remains unclear in American population. This study utilized cross-sectional data from National Health Nutrition Examination Survey (NHANES), including participants aged 20 years older, survey cycles conducted 2005 2010, 2013-2014, 2017-2018. Multivariable weighted linear regression logistic...

Abstract Ecosystem issues have been severely concerned and studied when the coal resource is one of major energy generators, green mining innovation techniques involving artificial-restorations addressed significantly lessened negative impacts on ecological environment. The ecosystem a coal-mined area, however, able to naturally restore with processes natural succession, similar human body system that has immune ability self-heal wound over time if does not deeply hurt health. Here we...

Traffic flow forecasting is a basic function of intelligent transportation systems, and the accuracy prediction great significance for traffic management urban planning. The main difficulty predictions that there complex underlying spatiotemporal dependence in flow; thus, existing graph neural network (STGNN) models need to model both temporal spatial dependence. Graph networks (GNNs) are adopted capture flow, which can symmetric or asymmetric relations between nodes network. transmission...

Abstract Synthesis of natural electric and magnetic Time series using Interstation transfer functions time from a Neighboring site (STIN) is new approach for recovering fields reduce the influence anthropogenic noise. The proposed modifies windows local that are affected by noise with resulted modifying spectra neighboring interstation between sites. STIN method was tested artificially contaminated series. Comparison STIN‐corrected original noncontaminated shows high similarity, both in...

Remote sensing image (RSI) scene classification is the foundation and important technology of ground object detection, land use management geographic analysis. During recent years, convolutional neural networks (CNNs) have achieved significant success are widely applied in RSI classification. However, crafted images that serve as adversarial examples can potentially fool CNNs with high confidence hard for human eyes to interpret. For increasing security robust requirements classification,...

In this paper, a novel data denoising method is proposed for seismic exploration with vibrator which produces chirp-like signal. The based on fractional wavelet transform (FRWT), similar to the Fourier (FRFT). It can represent signals in domain, and has advantages of multi-resolution analysis as (WT). process reflective chirp signal pulse decompose it into domain denoise. Compared other methods, FRWT offer timefractional-frequency plane suitable processing vibratory data. not only achieve...

Abstract The coal mining industry is developing automated and intelligent processes. Accurate determination of the geological conditions working faces an important prerequisite for mining. use machine learning to extract comprehensive attributes from seismic data application that determine strata thickness has become area research in recent years. Conventional interpretation methods do not meet requirements mines. Determining with solves this problem a large extent, especially issues...

As one of the most effective detection methods for partial discharge (PD), analysis radiated electromagnetic (EM) signals detected by ultra high frequency (UHF) sensor has gained broad attentions. However, main bottlenecks this method are probably massive storage requirements and various noise interferences. Therefore, paper is focused on investigating a new pulse segmentation technique, which capable separating PD pulses from noisy measured data to save space improve signal ratio (SNR)....

Cascading failures have been widely analyzed in interdependent networks with different coupling preferences from microscopic and macroscopic perspectives recent years. Plenty of real-world infrastructures, representing as networks, exhibit community structure, one the most important mesoscopic structures, partial preferences, which can affect cascading networks. In this paper, we propose random communities, investigating modular scale-free under inner attacks hub attacks. We mainly analyze...

To study the impact of modern coal mining on overlying strata and its water bearing conditions, integrated time-lapse geophysical prospecting integrating 3D seismic, electrical ground penetrating radar method were used. Through observing analyzing data variations all stages pre-mining, post-mining as well deposition stable period, impacts stratigraphic structure studied induced change pattern was summarized. The research result shows that surface layer during have self-healing with time;...

In China, south of the Yangtze River, there are a large number carbon sources, while Sichuan Basin is largest sedimentary basin; it makes sense to select targets for CO 2 geological storage (CGUS) early demonstration. For enhanced oil and gas, coal bed methane recovery (CO -EOR, EGR, ECBM), or in these depleted fields, existing oil, gas seams could be target areas mesoscale. This paper proposed methodology GIS superimposed multisource information assessment suitability water -EWR) only deep...

As the only project for CO2 storage in deep saline aquifers China, Shenhua CCS demonstration is of great importance geological continental sedimentary strata. Despite achieving designed injection goal 302,000 tons, currently does not have a widely accepted site model because large overall thickness layers, low porosity and permeability, high heterogeneity. Based on study system, combined with vertical seismic profiling (VSP) monitoring data, we used well log-constrained inversion method to...

Much empirical evidence shows that many real-world networks fall into the broad class of small-world and have a modular structure. The modularity has been revealed to an important effect on cascading failure in isolated networks. However, corresponding results for interdependent remain missing. In this paper, we investigate relationship between failures intra-modular rewiring probabilities inter-modular connections under different coupling preferences, i.e. random with modules (RCWM),...

To meet the needs of high-accuracy seismic sampling, a kind 32-bit high performance digital geophone was designed. The designed with performance, low power microcontroller MSP430F1232 as acquisition controller and high-resolution analog-to-digital converter-ADS1282 central part. able to achieve such functions: one channel vibrations gathering, data converting, memorizing transmitting. By using internal function ADS1282 adopting anti-jamming manner, not only circuit simplified, but also...