Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
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Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
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Abstractive Summarization System
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Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
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Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
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Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
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A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 2 | Issue - 2 | june 2020
Published
04 June, 2020
The electrical transmission and distribution systems are working on their own independence in operation. The operation of these systems can be modified by manual switching process. The switching process takes place only there is a need for transmission line alteration and transmission line fault attendance period. The manual switching operation during fault occurrence period consumes lot of time for the trained person to reach the place and it may leads to severe damages to the transmission system, also it's a threat to human safety. In order to avoid such drawbacks circuit breakers and automatic trippers were installed to the transmission lines and distribution systems. The circuit breakers and trippers are able to switch off the system only after the fault observation in the transmission line system. The proposed artificial intelligence based management and control system consists of several sensor elements and wireless IoT transmission to predict and avoid the fault occurrence by monitoring the physical and atmosphere condition of the transmission and distribution line. The control structure fitted with the transmission line monitors the environment and line fault condition and the IoT transmission unit gives a possible communication from the remote monitoring system to the transmission line system for switching operations.
KeywordsFault location transmission line faults IoT in transmission lines transmission line sensors
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