Current transformer (CT) saturation classification using empirical mode decomposition (EMD) and relevance vector machine (RVM) [PDF]
Scientific ReportsThe fault is taking place in the power system where the saturation of the Current Transformer (CT) is occurring, among other variations of system parameters.
Nilesh Chothani +3 more
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Predicting the Loose Zone of Roadway Surrounding Rock Using Wavelet Relevance Vector Machine
Applied Sciences, 2019 By applying the Wavelet Relevance Vector Machine (WRVM) method, this research proposes the loose zone of roadway surrounding rock prediction. Based on the theory of relevance vector machine (RVM), the wavelet function is introduced to replace the ...
Yang Liu +4 more
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Fault diagnosis method of rolling-element bearings via FBEWT and EIRVM [PDF]
Scientific ReportsPrompt and accurate detection of rolling-element-bearing defects is essential for the reliable operation of rotating equipment. This study presents an enhanced diagnostic strategy that couples Fourier–Bessel empirical wavelet transform (FBEWT) with an ...
Qingshou Zheng +5 more
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Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification. [PDF]
PLoS One, 2018 Dong E +5 more
europepmc +2 more sources
Frontiers in Energy Research, 2021 This work presents an optimized probabilistic modeling methodology that facilitates the modeling of photovoltaic (PV) modules with measured data over a range of environmental conditions.
Jianmin Ban +3 more
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Rheological properties of cemented paste backfill and the construction of a prediction model
Case Studies in Construction Materials, 2022 The Cemented Paste Backfill (CPB) yield stress is a key rheological parameter for paste filling technology, which has significant practical value for pipeline optimization and equipment selection of pipeline conveying systems.
Yonghui Niu +4 more
doaj +1 more source
Fully Bayesian analysis of the relevance vector machine classification for imbalanced data problem
CAAI Transactions on Intelligence Technology, 2023 Relevance Vector Machine (RVM) is a supervised learning algorithm extended from Support Vector Machine based on the Bayesian sparsity model. Relevance Vector Machine classification suffers from theoretical limitations and computational inefficiency ...
Wenyang Wang +5 more
doaj +1 more source
Energies, 2022 Accurate photovoltaic (PV) power forecasting is indispensable to enhancing the stability of the power grid and expanding the absorptive photoelectric capacity of the power grid.
Wentao Ma +4 more
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Wavelet Kernel Relevance Vector Machine Algorithm Based on Adaptive Kernel Parameter Optimization [PDF]
Jisuanji gongcheng, 2017 The traditional Relevance Vector Machine(RVM) algorithm is slow to train on large scale datasets,and the Gauss radial kernel cannot express the feature space completely.So based on adaptive kernel parameter optimization,this paper proposes a wavelet ...
GAO Mingzhe,XU Aiqiang,ZHANG Wei
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Prediction of mine slope deformation based on PSO-DSRVM
Zhongguo dizhi zaihai yu fangzhi xuebao, 2023 In order to establish a high-precision prediction model of mine slope displacement, Doubly Sparse Relevance Vector Machine （DSRVM） based on Particle Swarm Optimization （PSO） was used to establish the nonlinear relationship between slope stability and ...
Yusi YUAN +3 more
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