Filters








31 Hits in 4.9 sec

SDTC Neural Network Traction Control of an Electric Vehicle without Differential Gears

A. Haddoun, F. Khoucha, M.E.H. Benbouzid, D. Diallo, R. Abdessemed, K. Srairi
2007 2007 IEEE Vehicle Power and Propulsion Conference  
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

Giuseppe Marco Tina, Cristina Ventura, Sergio Ferlito, Saverio De Vito
2021 Applied Sciences  
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

Gyungmin Toh, Junhong Park
2020 Applied Sciences  
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

Varaha Satra Bharath Kurukuru, Ahteshamul Haque, Mohammed Ali Khan, Subham Sahoo, Azra Malik, Frede Blaabjerg
2021 Energies  
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

Sizhou Sun, Jingqi Fu, Lisheng Wei, Ang Li
2020 IEEE Access  
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  
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

Mohammad Al-Fawa'reh, Zain Ashi, Mousa Tayseer Jafar
2021 Karbala International Journal of Modern Science  
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  
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

Jinmei Shi, Yu-Beng Leau, Kun Li, Yong-Jin Park, Zhiwei Yan
2020 IEEE Access  
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

Juan P. Amezquita-Sanchez, Martin Valtierra-Rodriguez, Mais Aldwaik, Hojjat Adeli
2016 Scientia Iranica. International Journal of Science and Technology  
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

Chun-Wei Tsai, Mu-Yen Chen, Francesco Piccialli, Tie Qiu, Jason J. Jung, Patrick C. K. Hung, Sherali Zeadally
2021 IEEE Access  
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

Yuzheng Zhu, Xueyuan Li, Qi Liu, Songhao Li, Yao Xu
2022 Mechanical Sciences  
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

Supriya M., Vijay Kumar Chattu
2021 Big Data and Cognitive Computing  
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]

Khaled Ghaedi
2017 Earthquakes - Tectonics, Hazard and Risk Mitigation  
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

Ahmed Hadi Ali AL-Jumaili, Yousif I. Al Mashhadany, Rossilawati Sulaiman, Zaid Abdi Alkareem Alyasseri
2021 Applied Sciences  
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
« Previous Showing results 1 — 15 out of 31 results