A cloud-based leakage current classified system for high voltage insulators with improved particle swarm optimization and hybrid deep learning technique

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 143, P. 109987 - 109987

Published: Jan. 6, 2025

Language: Английский

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Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0

Internet of Things, Journal Year: 2024, Volume and Issue: 27, P. 101280 - 101280

Published: July 6, 2024

Language: Английский

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A machine learning approach for condition monitoring of high voltage insulators in polluted environments

Electric Power Systems Research, Journal Year: 2023, Volume and Issue: 220, P. 109340 - 109340

Published: March 27, 2023

Language: Английский

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Novel criteria for silicone rubber insulators condition monitoring based on leakage current analysis: Considering asymmetric aging and pollution

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108175 - 108175

Published: March 19, 2024

Language: Английский

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A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101755 - 101755

Published: Oct. 13, 2024

Language: Английский

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Online prognostic failure AIoT system for industrial generators maintenance service based two-stage deep learning algorithm

Control Engineering Practice, Journal Year: 2025, Volume and Issue: 157, P. 106263 - 106263

Published: Jan. 30, 2025

Language: Английский

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Cloud-based AIoT intelligent infrastructure for firefighting pump fault diagnosis-based hybrid CNN-GRU deep learning technique

The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(3)

Published: Feb. 4, 2025

Language: Английский

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Integrating signal pairing evaluation metrics with deep learning for wind power forecasting through coupled multiple modal decomposition and aggregation

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113394 - 113394

Published: April 1, 2025

Language: Английский

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An incorporation of metaheuristic algorithm and two-stage deep learnings for fault classified framework for diesel generator maintenance

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 151, P. 110688 - 110688

Published: April 6, 2025

Language: Английский

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Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid

Sensors, Journal Year: 2024, Volume and Issue: 24(4), P. 1113 - 1113

Published: Feb. 8, 2024

The electrical energy supply relies on the satisfactory operation of insulators. ultrasound recorded from insulators in different conditions has a time series output, which can be used to classify faulty random convolutional kernel transform (Rocket) algorithms use filters extract various features data. This paper proposes combination Rocket algorithms, machine learning classifiers, and empirical mode decomposition (EMD) methods, such as complete ensemble with adaptive noise (CEEMDAN), wavelet (EWT), variational (VMD). results show that EMD combined MiniRocket, significantly improve accuracy logistic regression insulator fault diagnosis. proposed strategy achieves an 0.992 using CEEMDAN, 0.995 EWT, 0.980 VMD. These highlight potential incorporating methods failure detection models enhance safety dependability power systems.

Language: Английский

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