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Real-time remaining useful life prediction based on adaptive kernel window width density
Measurement Science and Technology, 2022Abstract Remaining useful life (RUL) prediction plays an important role in improving the availability and productivity of systems. To improve the accuracy of real-time RUL prediction during system operation, we propose a modeling method for real-time RUL prediction based on adaptive kernel window width density ...
Jiangmin Zhang, Hui Shi, Zengshou Dong
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Adaptive Kernel Width Maximum Correntropy based VSC control of grid-tied PV-BESS System
2021 1st International Conference on Power Electronics and Energy (ICPEE), 2021This paper describes the adaptive kernel width maximum correntropy criteria (AKWMCC) based control of 3-phase 4-wire grid-tied dual-stage PV-battery-Ultra-capacitor-fuel cell system. The proposed control extends the system proficiency to perform multifunctional operations such as load, grid voltage and power balancing, reactive power compensation, and ...
Mukul Chankaya +2 more
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Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm
2011The Kernel-based Least-squares Policy Iteration (KLSPI) algorithm provides a general reinforcement learning solution for large-scale Markov decision problems. In KLSPI, the Radial Basis Function (RBF) kernel is usually used to approximate the optimal value-function with high precision.
Jun Wu +4 more
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IEEE Transactions on Geoscience and Remote Sensing
Gang Qiao, Jingwei Yin, Jinqiu Wu
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Gang Qiao, Jingwei Yin, Jinqiu Wu
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2006
Recursive feature elimination based on non-linear kernel support vector machine (SVM-RFE) with parameter selection by genetic algorithm is an effective algorithm to perform gene selection and cancer classification in some degree, but its calculating complexity is too high for implementation.
Yong Mao +5 more
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Recursive feature elimination based on non-linear kernel support vector machine (SVM-RFE) with parameter selection by genetic algorithm is an effective algorithm to perform gene selection and cancer classification in some degree, but its calculating complexity is too high for implementation.
Yong Mao +5 more
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Generalized complex kernel least-mean-square algorithm with adaptive kernel widths
Neural Computing and Applications, 2022Wei Huang, Zezhen Huang, Hua Gao
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The Journal of the Acoustical Society of America
In practical underwater detection scenarios, impulsive noise caused by ice cracking, marine biological activity, and noncooperative sonar transmissions poses significant challenges to accurate direction-of-arrival (DOA) estimation. To address this, an efficient adaptive DOA estimation algorithm is proposed, which integrates bias-compensated adaptive ...
Si-Yuan, Sun +5 more
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In practical underwater detection scenarios, impulsive noise caused by ice cracking, marine biological activity, and noncooperative sonar transmissions poses significant challenges to accurate direction-of-arrival (DOA) estimation. To address this, an efficient adaptive DOA estimation algorithm is proposed, which integrates bias-compensated adaptive ...
Si-Yuan, Sun +5 more
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Interacting Multiple Model Maximum Correntropy Kalman Filter with Adaptive Kernel Width
This paper proposes an adaptive kernel width interacting multiple model maximum correntropy Kalman filter (IMM-AMCKF) for maneuvering target tracking under non-Gaussian impulsive noise. It uses an innovation covariance ratio-based adaptive kernel width to balance accuracy and robustness.peng gu, Zhongliang Jing
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