Results 41 to 50 of about 7,040 (158)

Fault Identification Method of Electric Vehicle Power Battery Single Cell Voltage Inconsistency Based on DWT and PCA

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
Voltage inconsistency is one of the important factors that cause safety problems in power batteries. Therefore, based on electric vehicle operation data from the automotive enterprise monitoring platform, this paper builds upon the Principal Component Analysis (PCA) method and incorporates Discrete Wavelet Transform (DWT) characterized by possesses ...
FengWu Shan, JiaCheng Li, Ming Huang, QingMei Qin, Bin Yao, JianBang Zeng, ZhuoPing Yu, Suresh Kannan Balasingam   +7 more
wiley   +1 more source

Mass and Age of Red Giant Branch Stars Observed with LAMOST and \emph{Kepler}

, 2017
Obtaining accurate and precise masses and ages for large numbers of giant stars is of great importance for unraveling the assemblage history of the Galaxy. In this paper, we estimate masses and ages of 6940 red giant branch (RGB) stars with asteroseismic
Bi, Shaolan, Ge, Zhishuai, Hon, Marc, Huang, Yang, Li, Tanda, Li, Yaguang, Liu, Kang, Liu, Xiaowei, Sharma, Sanjib, Tian, Zhijia, Wu, Yaqian, Xiang, Maosheng, Yu, Jie, Zhang, Jianwei, Zhang, Jinghua, Zhang, Xianfei   +15 more
core   +1 more source

Coal and Gas Outburst Behavior in Gas‐Bearing Tunnels Revealed Through an Interpretable ISSA‐DNN Learning Framework

Geofluids, Volume 2026, Issue 1, 2026.
Coal and gas outbursts represent one of the most severe safety hazards during the construction of gas‐bearing tunnels. Accurate risk prediction remains difficult because of complex geological conditions, limited sample sizes, and the inherent subjectivity in hazard classification.
Fangyin Wu, Wenbo Yang, Zhiyu Chen, Jian Yan, Wenyu Xu, Lina Wen, Zetian Zhang   +6 more
wiley   +1 more source

Blind Image Quality Assessment Using Visual Neuron Model and Visual Attention Mechanism

International Journal of Digital Multimedia Broadcasting, Volume 2026, Issue 1, 2026.
In this paper, a blind image quality assessment (BIQA) method is proposed, which leverages both a visual neuron model and visual attention mechanism. The research of BIQA is aimed at evaluating the perceptual quality of images without access to reference images.
Hua-Wen Chang, Ya-Chong Lu, Rui-Jie Sha, Hua Yang, Deepali   +4 more
wiley   +1 more source

Exploiting Supervised Principal Component Analysis for Efficient High‐Dimensional Kriging Modeling

International Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.
High‐dimensional Kriging modeling is widely used in engineering and scientific fields. However, as the input dimensionality increases, computational complexity rises dramatically, and the number of required training samples grows exponentially. To address these challenges, this paper proposes a novel high‐dimensional Kriging modeling methodology, the ...
Haiying Chen, Jingfang Shen, Yaohui Li, Zebin Zhang, Wenwei Liu, Armando Sánchez-Nungaray   +5 more
wiley   +1 more source

Determining the Particle Size of Pulverized Coal From Spectral Reflectivity Measurements

Journal of Spectroscopy, Volume 2026, Issue 1, 2026.
Pulverized coal is widely used in industrial energy supplies and chemical production. Its combustion efficiency and reactivity are closely related to its particle size distribution. Therefore, precise, fast, and reliable measurement methods are required to determine the particle size of pulverized coal.
Chengkun Wang, Kaiwen Zong, Yitong Xu, Songhao Li, Bohong Liu, Qiuduo Zhao, Khalique Ahmed   +6 more
wiley   +1 more source

Enhancing Wind Turbine Diagnostics With SCADA‐Vibration Fusion, Contrastive Learning, and Linear Predictive Coefficients

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Wind energy plays a pivotal role in the transition to sustainable power generation. However, maintaining the reliability and efficiency of wind turbine (WT) remains a significant challenge due to complex operational conditions and the high cost associated with unexpected failures.
Cristian Velandia-Cárdenas, Yolanda Vidal, Francesc Pozo, Fabio Casciati   +3 more
wiley   +1 more source

Research on Status Monitoring and Fault Variables Identification of Nuclear Power Plant Based on Improved Reconstruction‐Based Contribution Analysis

Science and Technology of Nuclear Installations, Volume 2026, Issue 1, 2026.
Online monitoring of nuclear power plant (NPP) operational status is critical for ensuring safe and reliable operation. Given the complexity of NPP systems and the large number of variables to be monitored, conventional monitoring approaches which rely heavily on operators’ experience are facing significant challenges in fault detection and ...
Zhiyun Liu, Jiaoshen Xu, Rushi Fu, Han Zhang   +3 more
wiley   +1 more source

Acoustic Emission Signal Detection for Internal Valve Leakage in Liquid‐Filled Pipelines Using Kernel Principal Component Analysis

Shock and Vibration, Volume 2026, Issue 1, 2026.
To detect internal valve leakage in liquid‐filled pipelines, a method using kernel principal component analysis (KPCA) is proposed to analyze acoustic emission (AE) signals for leakage detection. Time‐frequency analysis and root mean square (RMS) values of AE signals across various frequency bands reveal that the dominant frequency band for valve ...
Runlin Zhang, Xueming He, Chao Wu, Lei Wang, Di Wu, Arnab Biswas   +5 more
wiley   +1 more source

Cave reservoir characterization method driven by GA-KPCA and geological knowledge. [PDF]

PLoS One
Ren W, Chen H, Wang R, Zhang T, Li L.
europepmc   +1 more source