Results 131 to 140 of about 16,629 (155)

Ordinary and Functional Principal Component Analysis for Relaxation Voltage Profiles and State of Health Estimation in Lithium-Ion Batteries

2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Relaxation voltage profiles methodologies have been proven to successfully estimate the State of Health (SoH) of lithium-ion batteries. These methods are particularly interesting since relaxation curves do not depend on the charging process and can be ...
Michele Bellomo, A. Dolara, Francesco Grimaccia   +2 more
semanticscholar   +1 more source

Functional Principal Component Analysis for Classification of Standing Long Jump Stability

Telecommunications Forum
The standing long jump (SLJ) is a test used to evaluate lower limb strength and function. In addition to jump distance, evaluating stability during the jump is also important.
Selena Bogojević, S. Vujnović, Olivera Knežević, Vladislava Krsmanović   +3 more
semanticscholar   +1 more source

A General Approach for Health Index-Based Remaining Useful Life Prediction Using Functional Principal Component Analysis

2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing)
Accurately predicting the remaining useful life (RUL) is crucial for industrial device prognostics and health management. With the advancement of sensor technology, multiple sensor data can be collected during the monitoring process of these devices ...
Sirui Nian, Wenda Kang, Dianpeng Wang
semanticscholar   +1 more source

Joint modelling of longitudinal measurements and time-to-event outcomes with cured fraction using functional principal component analysis

Statistics in Medicine
In studying the association between clinical measurements and time‐to‐event outcomes within a cure model, utilizing repeated observations rather than solely baseline values may lead to more accurate estimation.
Siyuan Guo, Jiajia Zhang, S. Halabi
semanticscholar   +1 more source

A Quick Decline Method for Forecasting Multiple Wells Using Sparse Functional Principal Component Analysis

Day 2 Thu, March 14, 2024
Accurate production forecasting for multiple wells that have both sparse and irregular measurements concurrently is a challenging task. Type-well analysis is commonly employed to model the average decline behavior of a group of wells from empirical ...
H. Hamdi, E. Zirbes, C. R. Clarkson
semanticscholar   +1 more source

Local and global timeseries proxies using functional principal component analysis: application to history-matching and uncertainty quantification

Computational Geosciences, 2023
H. Hamdi, Christopher R. Clarkson, Mario Costa Sousa   +2 more
semanticscholar   +1 more source

A time-varying distance based interval-valued functional principal component analysis method – A case study of consumer price index

Information Sciences, 2022
Tomáš Baležentis, Chonghui `Zhang
exaly  

Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator

Biometrics, 2023
Chongzhi Di, Fang Han
exaly  

Robust Functional Principal Component Analysis Based on a New Regression Framework

Journal of Agricultural Biological and Environmental Statistics, 2022
Haolun Shi, Jiguo Cao
semanticscholar   +1 more source

Spectral-Spatial Classification of Hyperspectral Image Using Improved Functional Principal Component Analysis

IEEE Geoscience and Remote Sensing Letters, 2022
Yantao Wei, Zhijing Ye
exaly