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Frequency Domain Method for Real-Time Detection of Oscillations
2011
Journal of Aerospace Computing Information and Communication
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Consequently, we demonstrate the feasibility of using this method for real-time detection of oscillation on the Georgia Tech GT Twinstar (UAS). ...
Because of the growing interest in real-time stability monitoring, there is a need for online methods that can detect off-nominal behavior in control systems. ...
Cox, Lewis and Suchomel developed a Neural Network based algorithm for detecting and compensating Pilot Induced Oscillations 6 . ...
doi:10.2514/1.52110
fatcat:3zzqx7ggbvcfveuiodezciyq6y
Relaxation of the Radio-Frequency Linewidth for Coherent-Optical Orthogonal Frequency-Division Multiplexing Schemes by Employing the Improved Extreme Learning Machine
2020
Symmetry
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In this manuscript, a phase-error mitigation method based on the single-hidden layer feedforward network prone to the improved ELM algorithm for CO-OFDM systems is introduced for the first time. ...
For binary and quadrature phase-shift keying modulations, the RC-ELM outperforms the benchmark pilot-assisted equalizer as well as the fully-real ELM, and almost matches the common phase error (CPE) compensation ...
As seen, in order to do not reduce the spectral efficiency as well as to achieve a real-time estimation and mitigation of the laser phase noise, the reference tones are only used for properly following ...
doi:10.3390/sym12040632
fatcat:2wieqiknynh5tbegh76cmtf6de
Massive MIMO Systems for 5G and Beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction
2020
Sensors
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We discuss all the fundamental challenges related to pilot contamination, channel estimation, precoding, user scheduling, energy efficiency, and signal detection in a massive MIMO system and discuss some ...
In this paper, we present a comprehensive overview of the key enabling technologies required for 5G and 6G networks, highlighting the massive MIMO systems. ...
The recurrent neural network (RNN) is a powerful tool to solve this time series learning problem. ...
doi:10.3390/s20102753
pmid:32408531
pmcid:PMC7284607
fatcat:xmyhlmst2bconcwlq5oezoc3zu
A Sensor Fault-Tolerant Accident Diagnosis System
2020
Sensors
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Diagnosis of the occurred accident is an essential sequence for optimum mitigations; however, it is also a critical source of error because the results of accident identification determine the task flow ...
To find the optimum strategy to mitigate sensor error, Missforest, selected from among various imputation methods, and gated recurrent unit with decay (GRUD), developed for multivariate time series imputation ...
for efficient training of the neural network model. ...
doi:10.3390/s20205839
pmid:33076440
fatcat:bdvvoh72dzcgzjbrkzbuv6sstq
RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey
2021
IEEE Access
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Furthermore, we discuss artificial intelligence (AI) approaches for developing estimation and compensation algorithms for RF impairments. ...
and review existing estimation and compensation algorithms. ...
Moreover, authors in [616] develop a convolutional neural network algorithm for estimating transmitter-induced and frequency-independent IQ imbalance in SC systems. ...
doi:10.1109/access.2021.3101845
fatcat:ete2cakeerdjrahum3gcuuexwe
Extreme Learning Machines to Combat Phase Noise in RoF-OFDM Schemes
2019
Electronics
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In this work, ELMs in the real and complex domains for direct-detection OFDM-based RoF schemes are proposed for the first time. ...
These artificial neural networks are based on the use of pilot subcarriers as training samples and data subcarriers as testing samples, and consequently, their learning stages occur in real-time without ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics8090921
fatcat:ppiw7mn6lnb3hefhbl75afucbi
Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey
2022
EURASIP Journal on Wireless Communications and Networking
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Second, the AI-aided channel estimation strategies are investigated using the following approaches: classical learning, neural networks, and reinforcement learning. ...
Thereby, AI algorithms are used for channel estimation by exploiting its complexity without unrealistic assumptions, following a better performance than conventional techniques under the same channel. ...
Acknowledgements The authors would like to thank the National Institute of Telecommunications for the resources to support this work. ...
doi:10.1186/s13638-022-02195-3
fatcat:tahwfxvltjbnhf4334z7lkqqtu
Performance Evaluation of Machine Learning-Based Channel Equalization Techniques: New Trends and Challenges
2022
Journal of Sensors
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To mitigate channel-related impairments, many channel equalization algorithms have been proposed for communication systems. ...
Radial Basis Functions (RBFs), Multilayer Perceptron (MLP), Support Vector Machines (SVM), Functional Link Artificial Neural Network (FLANN), Long-Short Term Memory (LSTM), and Polynomial-based Neural ...
to estimate a wireless channel in real time as required by the modern-day channel equalizers to mitigate the channel in real time? ...
doi:10.1155/2022/2053086
fatcat:7m3dbidetzf3rcqlujfagkhkqm
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks
[article]
2022
arXiv
pre-print
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different pilot sequences, and adaptive to time-varying networks. ...
We then develop a proximal gradient-based unfolding neural network that parameterizes the algorithmic iterations. ...
One solution is to utilize momentum to mitigate oscillations and speed up convergence [39] . ...
arXiv:2212.01839v1
fatcat:pjb6p4utvrc3focz526okafwoi
2020 Index IEEE Transactions on Power Systems Vol. 35
2020
IEEE Transactions on Power Systems
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., and Preece, R., Assessing the Impact of VSC-HVDC on the Interdependence of Power System Dynamic Performance in Uncertain Mixed AC/DC Systems; TPWRS Jan. 2020 63-74 Moeini, A., see Rimorov, D., TPWRS ...
Sept. 2020 3825-3834 Moeini, A., see Hajebrahimi, A., TPWRS Sept. 2020 3706-3718 Mohammadi, A., see 1834-1845 Mohammadi, F., see Jafarishiadeh, F ...
., +, TPWRS July 2020
2847-2862
Clustering algorithms
A Real Time Event Detection, Classification and Localization Using Syn-
chrophasor Data. ...
doi:10.1109/tpwrs.2020.3040894
fatcat:jjw2rnzr2re6fejvariekzr5uy
2020 Index IEEE Transactions on Power Delivery Vol. 35
2020
IEEE Transactions on Power Delivery
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Through Capability for Unidirectional HVDC Bulk Power Transmission; TPWRD Dec. 2020 2812-2820 Hou, X., see Yang, J., TPWRD April 2020 892-903 Hu, H., see Li, Z., TPWRD April 2020 809-818 Hu, J., ...
Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid. ...
., +, TPWRD June 2020 1599-1601
Real-Time Hierarchical Neural Network Based Fault Detection and Isolation
for High-Speed Railway System Under Hybrid AC/DC Grid. ...
doi:10.1109/tpwrd.2021.3051506
fatcat:2glroq53obcqzjjoawdxgopn3a
Generative Adversarial Networks Based Synthetic PMU Data Creation for Improved Event Classification
2021
IEEE Open Access Journal of Power and Energy
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A two-stage machine learning-based approach for creating synthetic phasor measurement unit (PMU) data is proposed in this article. ...
This approach leverages generative adversarial networks (GAN) in data generation and incorporates neural ordinary differential equation (Neural ODE) to guarantee underlying physical meaning. ...
Algorithm 1 GAN-Based Networked Eventful PMU Data Creation Algorithm Initialize θ D , θ G and θ f for i = 1 to N GAN do for j = 1 to k D do Sample real data {x k } m b k=1 Sample latent variables {z k ...
doi:10.1109/oajpe.2021.3061648
fatcat:o6asxevqsbh47kf4rqzttnmlgu
Special Issue "Intelligent Control in Energy Systems"
2019
Energies
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It covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural network for fuel cell control and dynamic optimization of energy management, adaptive control on ...
The editor of this special issue on "Intelligent Control in Energy Systems" have made an attempt to publish a book containing original technical articles addressing various elements of intelligent control ...
Conflicts of Interest: The author declares no conflict of interest. ...
doi:10.3390/en12153017
fatcat:uzzrvevnvbfoxca4hcubmf3bfy
2019 Index IEEE Transactions on Instrumentation and Measurement Vol. 68
2019
IEEE Transactions on Instrumentation and Measurement
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., +, TIM Aug. 2019 2691-2704 RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits. ...
., +, TIM Sept. 2019 3287-3298 Real-Time Image-Based Defect Inspection System of Internal Thread for Nut. ...
Image scanners Nonlinear Reconstruction of Multilayer Media in Scanning Microwave Microscopy. Wei, Z., +, TIM Jan. 2019 197-205 ...
doi:10.1109/tim.2019.2956662
fatcat:kotlu7gwcngrdkelerc5va2hqe
2019 Index IEEE Transactions on Industrial Informatics Vol. 15
2019
IEEE Transactions on Industrial Informatics
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Krishnan, A., +, Real-Time Identification of Power Fluctuations Based on LSTM Recurrent Neural Network: A Case Study on Singapore Power System. ...
., +, Series AC Arc Fault Detection Method Based on Hybrid Time and Frequency Analysis and Fully Connected Neural Network. ...
doi:10.1109/tii.2020.2968165
fatcat:utk3ywxc6zgbdbfsys5f4otv7u
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