Results 31 to 40 of about 306 (149)

Robust transformer-based anomaly detection for nuclear power data using maximum correntropy criterion

Nuclear Engineering and Technology
Due to increasing operational security demands, digital and intelligent condition monitoring of nuclear power plants is becoming more significant. However, establishing an accurate and effective anomaly detection model is still challenging.
Shuang Yi, Sheng Zheng, Senquan Yang, Guangrong Zhou, Junjie He   +4 more
doaj   +2 more sources

An adaptive kernel width convex combination method for maximum correntropy criterion

Journal of the Brazilian Computer Society, 2021
Recently, the maximum correntropy criterion (MCC) has been successfully applied in numerous applications regarding nonGaussian data processing. MCC employs a free parameter called kernel width, which affects the convergence rate, robustness, and steady ...
Aluisio I. R. Fontes, Leandro L. S. Linhares, João P. F. Guimarães, Luiz F. Q. Silveira, Allan M. Martins   +4 more
doaj   +1 more source

An Adaptive Channel Estimation Based on Fixed-Point Generalized Maximum Correntropy Criterion

IEEE Access, 2020
Many conventional adaptive channel estimation methods are based on minimum mean square error (MMSE) criterion, maximum correntropy criterion (MCC) or least p-norm criterion.
Pengcheng Yue, Hua Qu, Jihong Zhao, Meng Wang   +3 more
doaj   +1 more source

Parameter estimation based on novel enhanced self‐learning particle swarm optimization algorithm with Levy flight for PMSG

IET Generation, Transmission &Distribution, Volume 17, Issue 5, Page 1111-1122, March 2023., 2023
A novel parameter estimation method is proposed for the permanent magnet synchronous generator (PMSG), which is implemented by an enhanced self‐learning particle swarm optimization algorithm with Levy flight (SLPSO), and the problem of lower parameter estimation precision of standard PSO is obviated.
Wan Feng, Mengdi Li, Wenjuan Zhang, Haixia Zhang   +3 more
wiley   +1 more source

Robust localization based on non‐parametric kernel technique

Electronics Letters, Volume 58, Issue 22, Page 850-852, October 2022., 2022
Abstract Parametric approaches are primarily used in the context of robust localization. However, the localization performance is degraded when there is a mismatch between the assumed model and the actual situation. To circumvent this problem, in this letter, a robust weighted least squares (WLS) method based on the non‐parametric kernel density ...
Chee‐Hyun Park, Joon‐Hyuk Chang
wiley   +1 more source

Aircraft trajectory filtering method based on Gaussian‐sum and maximum correntropy square‐root cubature Kalman filter

Cognitive Computation and Systems, Volume 4, Issue 3, Page 205-217, September 2022., 2022
Abstract Aiming at meetiing the need to filtering flight trajectory data for aircraft testing, a novel adaptive cubature Kalman filter (CKF) is proposed based on the maximum correntropy and Gaussian‐sum in this paper. Firstly, based on the traditional CKF algorithm, we introduced a Gaussian‐sum method to approximate non‐Gaussian noise to get more ...
Jing G. Bai, Quan B. Ge, Hong Li, Jian M. Xiao, Yuan L. Wang   +4 more
wiley   +1 more source

A robust spatio‐temporal prediction approach for wind power generation based on spectral temporal graph neural network

IET Renewable Power Generation, Volume 16, Issue 12, Page 2556-2565, 7 September 2022., 2022
Abstract At present, the penetration of wind power generation is increasing remarkably worldwide, and the accurate wind power forecasting (WPF) is essential to ensure the reliability and economy of the power system. Most of the current work of WPF only capture temporal correlation in the time domain but ignore the spatial correlation.
Yuqin He, Songjian Chai, Jian Zhao, Yuxin Sun, Xian Zhang   +4 more
wiley   +1 more source

An approach to adaptive filtering with variable step size based on geometric algebra

IET Communications, Volume 16, Issue 10, Page 1094-1105, 23 June 2022., 2022
Abstract Recently, adaptive filtering algorithms have attracted much more attention in the field of signal processing. By studying the shortcoming of the traditional real‐valued fixed step size adaptive filtering algorithm, this paper proposed the novel approach to adaptive filtering with variable step size based on Sigmoid function and geometric ...
Haiquan Wang, Yinmei He, Yanping Li, Rui Wang   +3 more
wiley   +1 more source

Multi-Kernel Maximum Correntropy Kalman Filter

, 2022
Maximum correntropy criterion (MCC) has been widely used in Kalman filter to cope with heavy-tailed measurement noises. However, its performance on mitigating non-Gaussian process noises and unknown disturbance is rarely explored.
Shi, Dawei, Li, Shilei, Zou, Wulin, Shi, Ling   +3 more
core   +1 more source

Multi-Sensor Integrated Navigation Fusion Algorithm Based on Maximum Correntropy Criterion [PDF]

Hangkong bingqi
Aiming at the decreasing problem that the filtering accuracy of traditional multi-sensor integrated navigation system information fusion method under non-Gaussian measurement noise， this paper extends Kalman filter based on maximum correntropy criterion （
Lin Xueyuan, Pan Xinlong, Li Xin
doaj   +1 more source