Energies, 2022 The current work presents an effective fault detection and diagnosis (FDD) technique in wind energy converter (WEC) systems. The proposed FDD framework merges the benefits of kernel principal component analysis (KPCA) model and the bidirectional long ...
Kamaleldin Abodayeh
exaly +3 more sources
Integrated Metabolomics-KPCA-Machine Learning framework: a solution for geographical traceability of Chinese Jujube [PDF]
Food Chemistry: XDue to widespread product adulteration, Chinese jujube (CJ), a crop of global economic importance with nutritional and medicinal properties, struggles with geographical traceability. The study introduced a Metabolomics-Kernel Principal Component Analysis
Xiaoli Wang +8 more
doaj +2 more sources
Prediction of the corrosion rates of subsea pipelines via KPCA [PDF]
Scientific ReportsThe development of a precise model for predicting pipeline corrosion rates is essential for ensuring the safe operation of pipelines. To address the issues of inadequate stability and prolonged execution time associated with traditional models, the KPCA ...
Shiqi Xu, Changhe Huang, Hongda Zhao
doaj +2 more sources
Prediction model of water inrush risk level of coal seam floor based on KPCA-DBO-SVM [PDF]
Scientific ReportsTo predict the risk of water inrush from coal seam floor more effectively, a prediction model of water inrush risk level of coal seam floor based on KPCA-DBO-SVM is proposed.
Wei Wang +5 more
doaj +2 more sources
Offline handwritten signature verification using various Machine Learning Algorithms [PDF]
ITM Web of Conferences, 2021 In today’s world it is necessary to protect one’s authenticity in order to ensure the protection of personal information that only the authenticate credentials of a person can have access to.
Lokare Chinmay +4 more
doaj +1 more source
Palmprint Recognition Using Gabor-Based Scale Orientation [PDF]
International Journal of Electronics and Telecommunications, 2022 Various methods are used to obtain a superior palmprint recognition system. After selecting a palmprint image filter, using Gabor orientation scale pairs is an option to support the refinement of the verification process.
Muhammad Kusban
doaj +1 more source
KPCA over PCA to assess urban resilience to floods [PDF]
E3S Web of Conferences, 2021 Global increases in the occurrence and frequency of flood have highlighted the need for resilience approaches to deal with future floods. The principal component analysis (PCA) has been used widely to understand the resilience of the urban system to ...
Satour Narjiss +3 more
doaj +1 more source
Multiscale fault classification framework using kernel principal component analysis and k-nearest neighbors for chemical process system [PDF]
E3S Web of Conferences, 2021 Process monitoring techniques in chemical process systems help to improve product quality and plant safety. Multiscale classification plays a crucial role in the monitoring of chemical processes.
Nawaz Muhammad +2 more
doaj +1 more source
Related and independent variable fault detection method based on KPCA-SVM
Shenzhen Daxue xuebao. Ligong ban, 2023 In the real industrial process, some process variables are independent of other variables, a fault detection method of related and independent variable based on kernel principal component analysis and support vector machine (KPCA-SVM) is proposed to ...
GUO Jinyu, YU Huan, LI Yuan
doaj +1 more source
Mine water inrush source identification model based on KPCA-GWO-SVM
Meikuang Anquan, 2023 In order to improve the accuracy of mine water inrush source identification, a KPCA-GWO-SVM-based mine water inrush source identification model is proposed.
HUA Xingyue, SHAO Liangshan
doaj +1 more source