Results 31 to 40 of about 2,650 (163)

基于粒子群优化极限学习机的断路器故障诊断方法研究

open access: yesGaoya dianqi, 2020
断路器动作时,分合闸线圈电流特征能够反映断路器操动机构或者二次回路的运行状态,文中基于分合闸线圈电流特征值创建了样本库,并提出使用粒子群优化学习机进行故障诊断的方法。该方法首先通过粒子群优化算法寻找最优解,即极限学习机模型中输入层与隐含层间的权值以及隐含层的偏置,然后利用最优值进行极限学习机网络训练,最后使用训练好的网络对测试样本进行诊断并验证该方法的有效性。同时搭建了未优化的极限学习机模型和遗传算法优化的极限学习机模型,仿真结果表明,经过粒子群算法优化后的极限学习机能100 ...
张佳, 陈志英, 陈丽安, 陈庆荣
doaj  

Task complexity and L2 writing performance of young learners: Contributions of cognitive and affective factors

open access: yesThe Modern Language Journal, Volume 108, Issue 3, Page 741-770, Autumn (Fall) 2024.
Abstract The study investigated the effect of task complexity (TC) on second language (L2) learners’ affective responses and writing performance and how these were modulated by cognitive and affective individual difference (ID) factors. A total of 412 Chinese 8th‐grade English‐as‐a‐foreign‐language learners completed a working memory (WM) test, a scale
Chengchen Li, Li Wei, Xiaojun Lu
wiley   +1 more source

Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines [PDF]

open access: yes, 2023
Aiming at the multi-objective optimization of boiler combustion system, on the basis of the established prediction model of boiler combustion system, the weighted-particle swarm algorithm and the multi-objective particle swarm optimization (MOPSO ...
GAN Yunhua   +5 more
core   +1 more source

运行复合绝缘子高光谱污秽检测技术

open access: yesDianci bileiqi, 2023
目前传统的高光谱污秽检测主要针对人工涂污样本。而运行复合绝缘子由于结构和自然积污复杂、基材浸污严重,难以运用其方法进行污秽检测。因此搭建了适用于绝缘子污秽检测的高光谱拍摄平台,并提出了一种基于高光谱的运行复合绝缘子污秽检测技术。首先,针对绝缘子光谱特性,提出了一种基于噪声学习的一维卷积降噪自动编码器(1D-RDCAE)高光谱数据转换方法,消除不同拍摄情况导致的谱线偏移现象。其次通过核主成分(KPCA)提取不同污秽程度的光谱特征;分别建立基于线性判别算法(LDA)、BP神经网络(BPNN)以及极限学习机 ...
马御棠   +5 more
doaj  

Research on Fault Diagnosis Method of Photovoltaic Arrays Based on Improved Grey Wolf Algorithm Optimized Extreme Learning Machine [PDF]

open access: yes
ObjectivesPhotovoltaic arrays operating under complex outdoor conditions encounter various fault types with varying degrees of severity. To accurately assess the working status of photovoltaic arrays, a fault diagnosis method based on an improved grey ...
HAN Maolin   +4 more
core   +1 more source

Study on the temperature prediction model of residual coal in goaf based on ACO-KELM [PDF]

open access: yes
Existing studies on the temperature prediction of residual coal in goafs have mainly focused on the relationship between temperature and gas concentration, with limited attention given to the complex nonlinear relationships between the residual coal ...
HAO Le   +5 more
core   +1 more source

Walnut defect detection based on improved ELM and computer vision [PDF]

open access: yes
Objective: To address the issues of low accuracy and poor efficiency in walnut defect detection among existing food production enterprises. Methods: Proposed a fast non-destructive detection method for walnut defects that combined improved extreme ...
LIU Chang, XU Jie
core   +1 more source

Online performance prediction of CCPP byproduct coal-gas system based on online sequential extreme learning machine [PDF]

open access: yes, 2016
Aiming at the problem of mismatch between the model and the process for a byproduct coal-gas system in a combined cycle power plant(CCPP) due to frequent changes in working conditions,this article introduces a method for online performance prediction of ...
CHU Fei   +4 more
core   +1 more source

基于遗传算法改进极限学习机的变压器故障诊断

open access: yesGaoya dianqi, 2015
针对变压器故障的特征,结合变压器油中气体分析法以及三比值法,提出了基于遗传算法改进极限学习机的故障诊断方法。由于输入层与隐含层的权值和阈值是随机产生,传统的极限学习机可能会使隐含层节点过多,训练过程中容易产生过拟合现象。该方法运用遗传算法对极限学习机的输入层与隐含层的权值与阈值进行优化,从而提高模型的稳定性和预测精度。将诊断结果与传统的基于极限学习机故障诊断进行对比,结果表明,基于遗传算法改进极限学习机变压器故障诊断的精度更高。
吕忠   +4 more
doaj  

Decision-making method for residual support force of hydraulic supports during pressurized moving under fragmented roof conditions in ultra-thin coal seams [PDF]

open access: yes
Accurate decision-making on the residual support force of hydraulic supports during pressurized moving under fragmented roof conditions is crucial for improving intelligent mining efficiency in ultra-thin coal seams and ensuring operational safety.
GONG Lingxiao   +6 more
core   +1 more source

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