Intelligent identification of multiple power quality (PQ) disturbances is very useful for pollution control systems. In this paper, we propose a novel detection framework complex PQ based on multifusion convolutional neural network (MFCNN). Our contributions focus automatic extraction and fusion features from sources. First, an information structure introduced in which the time domain frequency disturbance signal are used as inputs. Additionally, one-dimensional composite convolution...

Volatile components in jujube fruits from Zizyphus jujuba Mill. cv. Dongzao (DZ) and Jinsixiaozao (JS) were analyzed under different cold storage periods via headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS). Results identified 53 peaks that corresponded to 47 compounds mostly alcohols, aldehydes, esters, ketones. Differences the volatile of revealed topographic plots fingerprints. For DZ, 3-pentanone was characteristic component fresh fruits. After for 15 days, dipropyl...

Intelligent classification of multiple power quality disturbances (PQDs) is a top priority in pollution control the grid. However, large-scale application renewable energy introduces lots nonlinear and impact loads, which makes PQDs more complex challenges effectiveness conventional detection frameworks. In this article, novel framework based on optimized Kaiser-window-based <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math...

Identifying critical nodes in the power grid is a crucial aspect of system security and stability analysis. However, current methods for identification fall short fully accounting transfer characteristics between consequences node removal on operation. To enhance effective accurate grid, method proposed. This based improved PageRank algorithm node-weighted flow entropy, referred to as IPRA-PFTE. Firstly, equivalent impedance nodes, introduction virtual an obtained. Then entropy derived by...

Abstract This study investigated the effects of different home food preparation methods on availability total phenolic contents ( TPC ) and radical scavenging components, as well selected health beneficial compounds from fresh blueberry carrot. High performance liquid chromatography HPLC analysis revealed that ground carrots using blenders released significantly greater amount β‐carotene than their chopped counterpart, samples prepared with commercial blenders/grinders levels cyaniding‐3‐ O...

Micro-grid connect to the grid changed traditional distribution system with single power source and radial network into a new several sources, sources loads can be found everywhere. So reliability of micro-grid would change greatly from theory method. This paper introduce operation modes impacts reliability, then apply FMEA evaluate micro-grid. In last part method proposed in feeder F4 RTBS-BUS6 so as prove conclusion that should improve system.

The timely detection of crack defects considerably helps prevent accidents caused by metal component failure. Further, magnetic memory technology has the advantage detecting damage earlier than traditional nondestructive testing technology; however, relationship between fields and welding cracks needs to be studied. Specimens with buried were fabricated study field parameters propagation process cracks. Variations in signals at different loading stages characterized. method can effectively...

Accurate reliability and residual life analysis is paramount during the designing of requirements rotation power measuring equipment (PME). However, sample dataset failure usually sparse contains inevitable pollution data, which has an adverse effect on analysis. To tackle this issue, paper first applies nonlinear regression to fuse rate environmental features PME collected from various locations. Then, a novel binary hierarchical Bayesian probability method proposed model trend identify...

With the increasing integration of non-linear electronic loads, diagnosis and classification power quality are becoming crucial for grid signal management. This paper presents a novel strategy based on unsupervised learning, namely residual denoising convolutional auto-encoder (RDCA), which extracts features from complex disturbances (PQDs) automatically. Firstly, time–frequency analysis is applied to isolate frequency domain information. Then, RDCA with weight structure utilized extract...

Abstract Gas chromatograph (GC) and gel permeation chromatography (GPC) were used to investigate the activity sites of lignin, which influence emulsifiability emulsifier mixing performance cold-recycling asphalt mixture obviously, in this paper. It was found that A prepared by lignin showed highest performance, due its 9.48 on average. Moreover, B synthesized exhibited a lower than A, because had 7.68 sites. However, C could not satisfy technical specifications for highway pavement...

This paper proposes a fast proximity effect correction (PEC) methodology based on multipole method (FMM), to simultaneously achieve high calculation speed and accuracy. It is shown that the proposed has both linear computational time complexity, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$O(N)$</tex> , where xmlns:xlink="http://www.w3.org/1999/xlink">$N$</tex> number of pixels, parallelization speedup multiple central processing unit (CPU)...

Fluorescence molecular imaging tomography has the advantages of early intervention, low cost and easy use. FMT can acquire distribution area fluorophore in body without cutting or putting something into body. But fluorescence image is very sensitive to many kind noises, such as autofluorescence, white noise some other noises. The signal major component image, intensity autofluorescence background signals are relatively experiment result. methods represented this paper eliminate high...

The Static Frequency Converter (SFC) in a pumped storage power plant often causes harmonic problems the dragging processes, which may lead to false operation of automatic devices station, and even damage equipment. These harmonics caused by SFC contain both characteristic non-characteristic degrees, components are more complex. Hence, existing suppression methods using APF or PPF compensation all have some problems. starting control strategy based on Linear Active Disturbance Rejection...

Abstract The static frequency converter (SFC) in a pumped storage power plant often causes harmonic problems the dragging processes, which may lead to false operation of automatic devices station, and even damage equipment. These harmonics caused by SFC contain both characteristic non‐characteristic degrees, components are more complex. Hence, existing suppression methods using active filter or passive compensation all have some problems. starting control strategy based on linear disturbance...

This study investigated the hypoglycaemic activity of lotus seed epicarp phenolic extract (LSEPE) by inhibiting starch hydrolytic enzyme and slowing down carbohydrate digestion. Total flavonoid contents in LSEPE were 620.37 ± 10.45 mg GAE/g DW 422.69 23.57 RE/g DW, respectively. A total 57 compounds first identified LSEPE. The IC

Base on indoor model experiments of two constant section pipe piles and three variable performed in foundation pit,the load transfer mechanism kinds close-ended are studied by comparing load-settlement curves,shaft distribution behaviors,skin resistance pile end.Results show bearing capacity is bigger than when settlements top equal.The vertical capacity, unit volume availability material will increase with improvement average diameter ratio piles.To pile, shaft suffered a sudden drop...

Base on indoor model tests of three variable section pipe piles and two constant performed in foundation pit,the load transfer mechanism kinds close-ended are studied by comparing horizontal load-displacement curves, critical bending moment piles. Results show that curves change slowly bearing capacity valiable will be higher than with equal average diameters.Comparing 1# 2# diameters, unit volume 3# 4# improved 8.7% 34.2% respectively which have different degrees increse improvement ratio....

Accurate assessment of the operation state for smart electricity meters (SEMs) is crucial electrical metering and service. Nevertheless, real estimation often ignores impacts multiple environmental stresses. In this article, a novel model based on fusion support vector regression (MFSVR) improved simulated annealing (ISA) proposed to assess SEMs under First, MFSVR used integrate different input information, in which types kernel functions are weighted emphasizing feature attributes including...