2020 International Joint Conference on Neural Networks (IJCNN) 2020
DOI: 10.1109/ijcnn48605.2020.9207445
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Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines

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Cited by 4 publications
(4 citation statements)
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“…3 [83] Fault detection in power distribution systems. Localization of faults using IoT and data from cloud.…”
Section: [82]mentioning
confidence: 99%
See 1 more Smart Citation
“…3 [83] Fault detection in power distribution systems. Localization of faults using IoT and data from cloud.…”
Section: [82]mentioning
confidence: 99%
“…Detection of short circuits in windings of WECS using vibration data to avoid wind turbine failure [83], is made by using Lapisco Image Interface for Application Development (LINDA) web application: it contains one system in Java which runs the web service and achieves the sending and processing of images between devices and workstations of the platform in a computational cloud; a second system is a database in PostgreSQL for storing the algorithms (extractors and classifiers) [83]. LINDA is a generic tool, which can solve many problems, not only of wind turbines.…”
Section: [82]mentioning
confidence: 99%
“…One of the major applications of AI in the IoT powered smart industry is towards fault detection in products and anomaly detection in industrial processes. This has seen the use of both Machine Learning (SVM [170,171], RF [172,173] as well as Deep Learning (DNN [174][175][176], CNN [177]) methods using a cloud computing structure to perform anomaly detection /product inspection and monitoring using a variety of heterogeneous and homogenous data sources such as inertial sensors for machines, images for products and processes and other process specific variables. Other approaches suggested in [178,179] propose a fog computing method along with edge computing systems suggested in [180,181].…”
Section: Smart Industrymentioning
confidence: 99%
“…The use of IoT based AI in Smart Industry has been presented in Table 10. [175] Classification-Different damage stages of a 3D printer Heterogeneous (Accelerometer, Gyroscope) RF [172] Classification-Normal and abnormal operation in wind turbines Homogeneous (Accelerometer)…”
Section: Smart Industrymentioning
confidence: 99%