Results 61 to 70 of about 708 (167)
The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley +1 more source
A method which utilizes maximum correntropy criterion and locality information called collaborative representation based classifier with maximum correntropy criterion and locality constraint (CRC/MCCLC) was proposed.On the one hand, CRC/MCCLC was not ...
Qinru YU, Guifu LU
doaj
MPHLDAE‐1DCNN: A Novel Denoising Method for Improved Fault Diagnosis
Fault diagnosis of rotating machines has undergone significant advancements through the use of deep learning models. However, the effectiveness of these models is often compromised by noisy raw vibration data collected from industrial machines, which can negatively impact accuracy rates. To address this challenge, we present an improved fault diagnosis
Fasikaw Kibrete +3 more
wiley +1 more source
Video Synchronization With Bit-Rate Signals and Correntropy Function
We propose an approach for the synchronization of video streams using correntropy. Essentially, the time offset is calculated on the basis of the instantaneous transfer rates of the video streams that are extracted in the form of a univariate signal ...
Igor Pereira +2 more
doaj +1 more source
Aiming at the challenges of strong ground clutter interference, low signal-to-noise ratio, and near-field non-stationary signals in detecting low, slow, and small (LSS) targets in low-altitude environments, this paper proposes a joint parameter ...
Li Li, Tianshuang Qiu
doaj +1 more source
Correntropy Based Divided Difference Filtering for the Positioning of Ships
In this paper, robust first and second-order divided difference filtering algorithms based on correntropy are proposed, which not only retain the advantages of divided difference filters, but also exhibit robustness in the presence of non-Gaussian noises,
Xi Liu +3 more
doaj +1 more source
This paper presents a transfer learning‐based domain‐adaptive one‐dimensional convolutional neural network (1‐D CNN) designed to enhance fault diagnosis generalization across varying working conditions and improve adaptability for different types of rotating machines.
Fasikaw Kibrete +2 more
wiley +1 more source
Simulation model of proposed system. ABSTRACT The increasing global energy demand driven by climate change, technological advancements, and population growth necessitates the development of sustainable solutions. This research investigates the design, modeling, and simulation of a 2.5 MW solar‐wind hybrid renewable energy system (SWH‐RES) optimized for
F. Max Savio +5 more
wiley +1 more source
This work addresses the issue of rejection delay due to DoS attacks triggered by historical measurements during the transmission of a large amount of measurement data in WECS‐based networked microgrids. We propose a novel robust SRCKF method, designated as MCC‐SRCKF, which incorporates MCC into the SRCKF structure of DSE.
Xiao Hu +4 more
wiley +1 more source
Novel time delay estimation algorithm for ADS-B based on an auxiliary source and correntropy
A novel time delay estimation algorithm was proposed to correct ADS-B latency employing an auxiliary signal source and correntropy.Firstly,the cause of message delay was analyzed and a new latency model was raised.Secondly,when comparing the signal ...
Sheng-yang LUAN +4 more
doaj

