Results 61 to 70 of about 794 (150)

Recursive Parsimonious Subspace Identification for Closed-Loop Hammerstein Nonlinear Systems

IEEE Access, 2019
In this paper, a recursive closed-loop subspace identification method for Hammerstein nonlinear systems is proposed. To reduce the number of unknown parameters to be identified, the original hybrid system is decomposed as two parsimonious subsystems ...
Jie Hou, Fengwei Chen, Penghua Li, Lijie Sun, Fen Zhao   +4 more
doaj   +1 more source

Joint Actuator and Sensor Fault Diagnosis in Wind Turbine Systems

Wind Energy, Volume 28, Issue 12, December 2025.
ABSTRACT This paper presents a fault diagnosis method for wind turbine systems that can simultaneously detect and estimate both actuator and sensor faults. Unlike previous studies that treat these faults separatelyand focus mainly on pitch angle‐related variables, our study recognizes the interdependence between actuator and sensor faults and expands ...
Evi Elisa Ambarita, Anniken Karlsen, Agus Hasan   +2 more
wiley   +1 more source

A New Incipient Fault Diagnosis Method Combining Improved RLS and LMD Algorithm for Rolling Bearings With Strong Background Noise

IEEE Access, 2018
Aiming at the difficulty of extracting information for incipient fault symptoms from rolling bearings with strong background noise, an improved incipient fault detection method based on modified recursive least squares (RLS) adaptive equalization, and a ...
Huang Darong, Ke Lanyan, Mi Bo, Zhao Ling, Sun Guoxi   +4 more
doaj   +1 more source

Performance Evaluation of Hexagonal Array Adaptive Beamforming Algorithm Based on Inverse QR-RLS for Active Sonar Application

Journal of Algorithms & Computational Technology, 2009
In shallow water areas, to enhance underwater targets detection performance improve computation efficiency of active sonar, a computationally efficient adaptive beamformer (spatial filter) based on inverse QR (IQR) and recursive least-squares (RLS) is ...
Q. Wang, X. Pan
doaj   +1 more source

Robust Regularized Recursive Least-Squares Algorithm Based on Third-Order Tensor Decomposition

Algorithms
The decomposition-based adaptive filtering algorithms have recently gained increasing interest due to their capability to reduce the parameter space.
Radu-Andrei Otopeleanu, Constantin Paleologu, Jacob Benesty, Cristian-Lucian Stanciu, Laura-Maria Dogariu, Ruxandra-Liana Costea   +5 more
doaj   +1 more source

Adaptive Tracking Method for Time-Varying Underwater Acoustic Channel Based on Dynamic Gaussian Window

Journal of Marine Science and Engineering
The traditional recursive least squares (RLS) algorithm is limited in highly dynamic and noisy underwater channels. To overcome this, we introduce the time-varying Gaussian sliding window-based RLS (VGSRLS) algorithm, designed for enhanced channel ...
Zemin Zhou, Zhikuan Chen, Bin Wang, Yunjiang Zhao, Yi Lou   +4 more
doaj   +1 more source

Online Inductance and Capacitance Identification Based on Variable Forgetting Factor Recursive Least-Squares Algorithm for Boost Converter

MATEC Web of Conferences, 2018
The control performance of boost converter suffers from the variations of important component parameters, such as inductance and capacitance. In this paper, an online inductance and capacitance identification based on variable forgetting factor recursive
Chen Chen, Min Run, Tong Qiaoling, Tao Shifei, Lyu Dian, Li Linkai   +5 more
doaj   +1 more source

Application of RLS adaptive filteringin signal de-noising

Journal of Measurement Science and Instrumentation, 2014
In view of the problem that noises are prone to be mixed in the signals,an adaptive signal de-noising system based on reursive least squares（RLS）algorithm is introduced.The principle of adaptive filtering and the process flow of RLS algorithm are ...
CHENG Xue-zhen, XU Jing-dong, WEI A-ying, PANG Ming-xiang   +3 more
doaj  

Solar panel fault diagnosis based on the intelligentrecursive method

Majlesi Journal of Electrical Engineering
The solar panel or solar cell is one of the most important components of the solar system that produces electrical energy with high efficiency compatible with electrical loads, but any defect in this cell can cause its efficiency to decrease.
Saadat Boulanouar, Fengal Boualem
doaj   +1 more source

Space-Time Joint Interference Cancellation Using Fuzzy-Inference-Based Adaptive Filtering Techniques in Frequency-Selective Multipath Channels

EURASIP Journal on Advances in Signal Processing, 2006
An adaptive minimum mean-square error (MMSE) array receiver based on the fuzzy-logic recursive least-squares (RLS) algorithm is developed for asynchronous DS-CDMA interference suppression in the presence of frequency-selective multipath fading.
Chen Yu-Fan, Hu Chia-Chang, Lin Hsuan-Yu, Wen Jyh-Horng   +3 more
doaj   +1 more source