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Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Angelos Angelopoulos, Emmanouel T. Michailidis, Nikolaos Nomikos, Panagiotis Trakadas, Antonis Hatziefremidis, Stamatis Voliotis, Theodore Zahariadis
2019 Sensors  
We start by examining various proposed cloud/fog/edge architectures, highlighting their importance for acquiring manufacturing data in order to train the ML algorithms.  ...  In this survey, we focus on the vital processes of fault detection, prediction and prevention in Industry 4.0 and present recent developments in ML-based solutions.  ...  In Section 2, an overview of cloud/fog/edge architectures for the integration of ML for fault detection, prediction and prevention is provided.  ... 
doi:10.3390/s20010109 pmid:31878065 pmcid:PMC6983262 fatcat:n4muoguq5jalrfwqkq4264vswe

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
., Guest Editorial:Special Section on 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  ...  ., +, TII April 2020 2667-2676 Secure Transmission of Compressed Sampling Data Using Edge Clouds.  ...  Wang, Q., +, TII Nov. 2020 7126-7135 Secure Transmission of Compressed Sampling Data Using Edge Clouds.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI [article]

Le Xie, Xiangtian Zheng, Yannan Sun, Tong Huang, Tony Bruton
2022 arXiv   pre-print
This article presents a use-inspired perspective of the opportunities and challenges in a massively digitized power grid.  ...  The impact of these three factors on critical functions of power system operation and planning practices are reviewed and illustrated with industrial practice case studies.  ...  Oncor has more than 18, 000 circuit-miles of transmission lines with over 500, 000 transmission insulators.  ... 
arXiv:2205.05180v1 fatcat:ecmq2wqy2nhk7e2zcabwdkhltq

Volume 2, Issue 3, Special issue on Recent Advances in Engineering Systems (Published Papers) Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description Application ...

Sarra Alqahtani, Rose Gamble
2017 Advances in Science, Technology and Engineering Systems  
The detection approach monitors the behavior of each service and identifies anomalies as a potential impersonation attack if it deviates significantly from the expected behavior.  ...  Providing security for interacting cloud services requires more than user authentication with passwords or digital certificates and confidentiality in data transmission.  ...  The major contribution of this paper is our distributed framework for auditing and detecting impersonation attacks in service clouds.  ... 
doi:10.25046/aj020358 fatcat:2crf76dd75ca5d2yjy6vfxkuwi

Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications

Dabeeruddin Syed, Ameema Zainab, Shady S. Refaat, Haitham Abu-Rub, Othmane Bouhali
2020 IEEE Access  
Smart grids have been gradually replacing the traditional power grids since the last decade.  ...  This includes the effective acquisition, transmission, processing, visualization, interpretation, and utilization of big data.  ...  Technical developments have been witnessed not only in the power generation side but also in the transmission and distribution sides.  ... 
doi:10.1109/access.2020.3041178 fatcat:awgtqx6nordadbtjn2a4v4nxe4

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
., TIM 2021 5005808 An Insulator in Transmission Lines Recognition and Fault Detection Model Based on Improved Faster RCNN.  ...  ., +, TIM 2021 3500909 An Insulator in Transmission Lines Recognition and Fault Detection Model Based on Improved Faster RCNN.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

BME VIK Annual Research Report on Electrical Engineering and Computer Science 2016

Hassan Charaf, Gábor Harsányi, András Poppe, Sándor Imre, Bálint Kiss, Tamás Dabóczi, Gyula Katona, Lajos Nagy, Gábor Magyar, István Kiss
2017 Periodica Polytechnica Electrical Engineering and Computer Science  
Thus, participation in these collaborations give a competitive edge and ensure the continuous development of VIK.  ...  We are proud of combining engineering applications with sound scientific results, which is the assurance of high-level industrial collaboration leading to novel results and innovation.  ...  The aim of MEC is to move the clouds to the edge of the network, close to the clients or even move the clouds with clients.  ... 
doi:10.3311/ppee.11067 fatcat:danqnppunnhq3mc2ns3qfhdwy4

Supporting the Wellness at Work and Productivity of Ageing Employees in Industrial Environments: The sustAGE Project

Maria Pateraki, Manolis Lourakis, Leonidas Kallipolitis, Frank Werner, Petros Patias, Christos Pikridas
2019 Zenodo  
These data have to be analysed and visualised, and anomalies have to be detected within a short timeframe. Alarms and alerts have to be parsed in real time.  ...  With the chain of trust principle, it enables the usage of all services of the Arrowhead local cloud and the services of other clouds that are compliant with the Arrowhead framework, based on a secure  ... 
doi:10.5281/zenodo.4294256 fatcat:ovybcpqny5eppniw7hb5vcsevy

Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape

Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac
2021 IEEE Access  
. [11] extends the idea of GAD by classifying both • Semi-supervised anomaly detection: [8] has only nor- dynamic and static situations.  ...  ble learning framework to detect stock price manipulation.  ... 
doi:10.1109/access.2021.3134076 fatcat:lm2upcaoabbnbie6r4sfzhjh4y

Cyberphysical Security of Grid Battery Energy Storage Systems

Rodrigo D. Trevizan, James Obert, Valerio De Angelis, Tu A. Nguyen, Vittal S. Rao, Babu R. Chalamala
2022 IEEE Access  
Semi-supervised machine learning on the other hand facilitates training by using a large amount of unlabeled data in conjunction with a small amount of labeled data to train the IDS anomaly detection models  ...  Supervised and unsupervised learning anomaly detection systems are often implemented using statistical machine learning algorithms.  ... 
doi:10.1109/access.2022.3178987 fatcat:z3erpvu6pbh65hk6w25bqb3x7m

Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges

Hazim Shakhatreh, Ahmad H. Sawalmeh, Ala Al-Fuqaha, Zuochao Dou, Eyad Almaita, Issa Khalil, Noor Shamsiah Othman, Abdallah Khreishah, Mohsen Guizani
2019 IEEE Access  
beds or anomaly detection frameworks for the stateof-the-art UAV applications.  ...  Moreover, UAVs can also be utilized for high voltage inspection of the power transmission lines.  ... 
doi:10.1109/access.2019.2909530 fatcat:xgknpyuqazhpvferjkkdohxmtu

A Proposal for a Three Detector Short-Baseline Neutrino Oscillation Program in the Fermilab Booster Neutrino Beam [article]

R. Acciarri, A.M. Ankowski, W. Badgett, L. Bagby, M. Bass, K. Biery, H. Bilokon , T. Bolton , L. Bugel, B. Carls, E. Church, J.M. Conrad, R. Dharmapalan, A. Ereditato (+36 others)
2015 arXiv   pre-print
This new SBN Program will deliver a rich and compelling physics opportunity, including the ability to resolve a class of experimental anomalies in neutrino physics and to perform the most sensitive search  ...  The average request of cold power was around 24 kW, mainly due to insulation losses.  ...  For what concerns the maintenance and the adaptation of the cryogenic systems to the new experimental layout at FNAL, this activity will be carried-out under the supervision of the ICARUS Collaboration  ... 
arXiv:1503.01520v1 fatcat:moqgs7asvbbydaek5dyuhbj57e

Program

2021 2021 National Conference on Communications (NCC)  
detection.  ...  good power efficiency.  ...  We have achieved a total of 8 comb lines − 5 lines within 6 dB power variation. The comb lines are separated by approximately 11 GHz (∼0.085 nm).  ... 
doi:10.1109/ncc52529.2021.9530194 fatcat:ahdw5ezvtrh4nb47l2qeos3dwq

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
The Solar-Stirling engine systems can be the better option for off-grid power generation.  ...  Stirling engine has a potential to be competitive enough with the other renewable technologies with some necessary technical modifications to make this heat engine a feasible and effective option for power  ...  Based on the detecting mechanism, Two types of IDS-based detection are anomaly-based and misuse-based detection. The usual type of traffic is modeled in anomaly-based detection frameworks.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2019 Budget Estimates

Department Of Defense Comptroller's Office
2018 Zenodo  
. --30.000 Title: Millimeter Wave Digital Arrays (MIDAS)* Description: *Formerly Radio Frequency Collaborative Unmanned Distributed System (RF CLOUDS) FY 2019 2019 Plans: -Demonstrate a low-power, 16  ...  Geospatial Cloud Analytics (GCA) FY 2019 2019 Plans: -Analyze computational architectures and frameworks for GCA analytics services at global scale.  ... 
doi:10.5281/zenodo.1215599 fatcat:kxduvg6a5nflhf6iilkwnolobu
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