Leveraging Deep Learning Algorithms for Predicting Power Outages and Detecting Faults: A Review
M Rizvi - Advances in Research, 2023 - go7publish.com
Power outage prediction and fault detection play crucial roles in ensuring the reliability and
stability of electrical power systems. Traditional methods for predicting power outages and …
stability of electrical power systems. Traditional methods for predicting power outages and …
Sensors faults classification and faulty signals reconstruction using deep learning
Sensor fault classification and reconstruction frameworks are crucial for the stable, safe, and
reliable operations of Structural Health Monitoring (SHM) systems. Existing literature …
reliable operations of Structural Health Monitoring (SHM) systems. Existing literature …
Big data and machine learning: A roadmap towards smart plants
Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems
via the integration of digital components with the actual physical units involved. This process …
via the integration of digital components with the actual physical units involved. This process …
Enhanced dual convolutional neural network model using explainable artificial intelligence of fault prioritization for industrial 4.0
S Kidambi Raju, S Ramaswamy, MM Eid, S Gopalan… - Sensors, 2023 - mdpi.com
Artificial intelligence (AI) systems are increasingly used in corporate security measures to
predict the status of assets and suggest appropriate procedures. These programs are also …
predict the status of assets and suggest appropriate procedures. These programs are also …
Wireless sensor networks and machine learning centric resource management schemes: A survey
Abstract Wireless Sensor Network (WSN) is a heterogeneous, distributed network composed
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …
Fault Classification and Diagnosis Approach Using FFT-CNN for FPGA-Based CORDIC Processor
Y **e, H Chen, Y Zhuang, Y **e - Electronics, 2023 - mdpi.com
Within the realm of digital signal processing and communication systems, FPGA-based
CORDIC (Coordinate Rotation Digital Computer) processors play pivotal roles, applied in …
CORDIC (Coordinate Rotation Digital Computer) processors play pivotal roles, applied in …
Hierarchical multi-scale parametric optimization of deep neural networks
Traditionally, sensitivity analysis has been utilized to determine the importance of input
variables to a deep neural network (DNN). However, the quantification of sensitivity for each …
variables to a deep neural network (DNN). However, the quantification of sensitivity for each …
A hybrid optimization and machine learning based energy-efficient clustering algorithm with self-diagnosis data fault detection and prediction for WSN-IoT application
The evolution of Internet of Things (IoT) technologies plays a crucial role in advancing smart
cities and industrial applications. One of the emerging technologies facilitating sensing and …
cities and industrial applications. One of the emerging technologies facilitating sensing and …
An Optimal Operation Control Framework for Digital Twin Manufacturing Cell
Y Zhou, G Zhou, C Zhang - Procedia CIRP, 2023 - Elsevier
Digital workshop is a new application of digital twin combined with discrete manufacturing
workshop, which can completely improve the perception level of production status by …
workshop, which can completely improve the perception level of production status by …
Fault prediction in electric power communication network based on improved DenseNet
P Gao, L Guan, J Hao, Q Chen, Y Yang… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Power communication network plays a crucial role in the power system infrastructure.
However, its rapid development has led to a significant increase in real-time alarm volume …
However, its rapid development has led to a significant increase in real-time alarm volume …