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SDTC Neural Network Traction Control of an Electric Vehicle without Differential Gears
2007
2007 IEEE Vehicle Power and Propulsion Conference
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His main research interests and experience include analysis, design, and control of electric machines, variable-speed drives for traction and propulsion applications, and fault diagnosis of electric machines ...
The EV is in this case propelled by two induction motor (one for each wheel). Indeed, using two electric in-wheel motors give the possibility to have a torque and speed control in each wheel. ...
This algorithm is necessary to improve the EV steerability and stability during trajectory changes. ...
doi:10.1109/vppc.2007.4544135
fatcat:ibwvca7bhzbftjt6b6jiy7brse
A State-of-Art-Review on Machine-Learning Based Methods for PV
2021
Applied Sciences
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optimization, PV/Thermal (PV/T) and Concentrating PV (CPV) system design parameters' optimization and efficiency improvement, anomaly detection and energy management of PV's storage systems. ...
In this scenario, machine learning (ML), a subset of AI techniques, provides machines with the ability to programmatically learn from data to model a system while adapting to new situations as they learn ...
An improved GA algorithm is used to select optimal features for the base models varying in each region. ...
doi:10.3390/app11167550
fatcat:h2nd35zp6ngonlbyo5a3cdo2zi
Review of Vibration-Based Structural Health Monitoring Using Deep Learning
2020
Applied Sciences
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The deep-learning-based algorithms are expected to find increasing application in these complex problems due to their flexibility and robustness. ...
This review provides a summary of studies applying machine learning algorithms for fault monitoring. The vibration factors were used to categorize the studies. ...
[16] used frequency response functions (FRF) to find the position and quantity of damage in truss structure based on genetic algorithm (GA) and bat algorithm (BA). ...
doi:10.3390/app10051680
fatcat:4vgiycrznvgcjfsv6fshlc3seq
A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
2021
Energies
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The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV) systems, due to the increasing computational power, tools and data generation. ...
The currently employed methods for various functions of the solar PV industry related to design, forecasting, control, and maintenance have been found to deliver relatively inaccurate results. ...
The battery fault diagnosis based on combined long-short term memory (LSTM) and the recurrent neural network (RNN) is presented [156] . ...
doi:10.3390/en14154690
fatcat:o22dcbw3rbdp7jlr5jguftjgnq
Multi-objective optimal dispatching for a grid-connected micro-grid considering wind power forecasting probability
2020
IEEE Access
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A two-step solution methodology combining an efficient and effective improved multi-objective bat algorithm (IMOBA) with fuzzy set theory (FST) is put forward to solve the optimal dispatching problems. ...
INDEX TERMS Wind power probabilistic forecasting, multi-objective optimization, micro-grids, bat algorithm, expert energy management system. 46982 VOLUME 8, 2020 ...
[23] , fault diagnosis [24] and other time series processing [25] , [26] . ...
doi:10.1109/access.2020.2977921
fatcat:4vcazcg5unh7lm4exfa2bzltk4
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
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Diagnosis in Photovoltaic Arrays Using GBSSL Method and Proposing a Fault Correction System; TII Aug. 2020 5300-5308 ...
End-Edge-Cloud Orchestrated Algorithms, Systems and Applications; TII July 2020 4788-4790 Jiang, J., see Jia, G., 1993-2002 Jiang, J., see Liu, L., 2072-2080 Jiang, J., see Zhang, X., TII Dec. 2020 ...
Sidorov, D., +, TII May 2020 3451-3459 A New Hybrid Bat Algorithm and its Application to the ROP Optimization in Drilling Processes. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
Detecting Malicious DNS Queries Over Encrypted Tunnels Using Statistical Analysis and Bi-Directional Recurrent Neural Networks
2021
Karbala International Journal of Modern Science
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networks with self-adaptive strategies for transformer fault
Sci. ...
Their approach was based on Colony Optimization (ACO) and Particle Swarm
behavioral analysis of DNS queries, such as the num- Optimization (PSO) algorithms to ...
doi:10.33640/2405-609x.3155
fatcat:shd27ytlvndirjdkrrykgjejou
2019 Index IEEE Transactions on Industrial Informatics Vol. 15
2019
IEEE Transactions on Industrial Informatics
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Rational-Dilation Wavelet Transform Based Torque Estimation from Acoustic Signals for Fault Diagnosis in a Three-Phase Induction Motor. ...
., +, TII April 2019 2032-2043 A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low-Frequency Processing for Microgrid Inverter. ...
doi:10.1109/tii.2020.2968165
fatcat:utk3ywxc6zgbdbfsys5f4otv7u
Optimization and Decomposition Methods in Network Traffic Prediction Model: A Review and Discussion
2020
IEEE Access
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The EEMD method improves the decomposition accuracy and has been rapidly applied to machine monitoring and fault diagnosis [29] . ...
Tao He put forward the PSO-RBF combined model based on optimized PSO algorithm to realize traffic prediction [12] . ...
doi:10.1109/access.2020.3036421
fatcat:jxr7apqw3zg2nfpzio4dtuhaom
Neurocomputing in Civil Infrastructure
2016
Scientia Iranica. International Journal of Science and Technology
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Since then, many techniques and methodologies based on ANNs have been employed in the civil engineering discipline for optimization, control, identi cation, and prediction problems, among others. ...
Adeli [18] presented a review of applications of ANNs in civil engineering published in the period 1989 to 2001. ...
Gholizadeh and Mohammadi [92] combined particle swarm optimization [93] [94] [95] , bat algorithm, and wavelet backpropagation neural networks for reliability-based seismic optimization of steel momentresisting ...
doi:10.24200/sci.2016.2301
fatcat:f35gtppgofaojkbertgsowsi24
IEEE Access Special Section Editorial: Data Mining for Internet of Things
2021
IEEE Access
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using deep transfer learning,'' by Vo et al.; ''Seismic random noise attenuation based on PCC classification in transform domain,'' by Sang et al.; ''Wind turbine fault diagnosis and predictive maintenance ...
,'' by Ren et al.; ''A pedestrian detection method based on genetic algorithm for optimize XGBoost training parameters,'' by Jiang et al.; ''Time series data classification based on dual path CNN-RNN cascade ...
doi:10.1109/access.2021.3090137
fatcat:cnleukmukfgexmkwx7tino2k5y
Review article: A comprehensive review of energy management strategies for hybrid electric vehicles
2022
Mechanical Sciences
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As the core of HEVs, the energy management strategy (EMS) plays an important role in fuel economy, power performance, and drivability. ...
Second, recent studies on EMSs for HEVs are reviewed. Third, the advantages and disadvantages of different categories of EMSs are compared in detail. ...
The lower layer was based on the modelfree RL and used the transformed TPMs to solve the optimal power distribution. ...
doi:10.5194/ms-13-147-2022
fatcat:qe62teiy3jfglpcmfqomekkdyi
A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health
2021
Big Data and Cognitive Computing
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ML algorithms can also analyze large amounts of data called Big data through electronic health records for disease prevention and diagnosis. ...
Machine learning (ML) is a field of AI that allows computers to learn and improve without being explicitly programmed. ...
The bat algorithm is a swarm intelligence optimization approach based on the echolocation function of bats, which helps them to avoid obstacles while flying and find food or refuge. ...
doi:10.3390/bdcc5030041
fatcat:x25hkk3fxnbtll7cofmikpys3i
Earthquake Prediction
[chapter]
2017
Earthquakes - Tectonics, Hazard and Risk Mitigation
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An example of each strategy was carried out by mentioning their corresponding approaches/algorithms, such as ΔCFS, CN, MSc, M8, ANN, FFBPANN, KNN, GRNN, RBF, and LMBP; depending on the importance of each ...
Based on these, it was concluded that, after the Tohoku-Oki earthquake with M9.0, the current orientation of the Headquarters for earthquake Research Promotion of MEXT in Japan declare that, their mission ...
Despite using Bat-ANN algorithm (a combination of Bat Algorithm, BA, with Artificial Neural Network, ANN, algorithm) in one of the most recent investigations [46] to predict EQs in Pakistan regions, ...
doi:10.5772/65511
fatcat:ovalnsp3efg2zftf7s7v5x44sy
A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges
2021
Applied Sciences
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Cloud-based power optimization intelligent systems lead to an optimal power distribution solution that reduces power consumption or costs. ...
sources, and a cloud-based power optimization intelligent system. ...
Therefore, there are two suggestions: the first is to plan the optimization algorithm for the charge controller based on the real parameters; the next is to implement this proposed algorithm as a practical ...
doi:10.3390/app11219820
fatcat:kawh4um7trdtrl3z3zouugvkya
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