A fault diagnosis methodology for nuclear power plants based on Kernel principle component analysis and quadratic support vector machine

Research article (Annals of Nuclear Energy, 2022) · cited 15× · AI/ML
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A fault diagnosis methodology for nuclear power plants based on Kernel principle component analysis and quadratic support vector machine

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A fault diagnosis methodology for nuclear power plants based on Kernel principle component analysis and quadratic support vector machine is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A fault diagnosis methodology for nuclear power plants based on Kernel principle component analysis and quadratic support vector machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fault-diagnosis-methodology-for-nuclear-power-plants-based-on-kernel-principle-component-analysis-and-quadratic-suppor
MLA “A fault diagnosis methodology for nuclear power plants based on Kernel principle component analysis and quadratic support vector machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fault-diagnosis-methodology-for-nuclear-power-plants-based-on-kernel-principle-component-analysis-and-quadratic-suppor.
BibTeX @misc{4ortxyz_a-fault-diagnosis-methodology-for-nuclear-power-plants-based-on-kernel-principle-component-analysis-and-quadratic-suppor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A fault diagnosis methodology for nuclear power plants based on Kernel principle component analysis and quadratic support vector machine}}, year = {2026}, url = {https://4ort.xyz/entity/a-fault-diagnosis-methodology-for-nuclear-power-plants-based-on-kernel-principle-component-analysis-and-quadratic-suppor}, note = {Accessed: 2026-05-24}}
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