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, Год журнала: 2025, Номер 143, С. 109987 - 109987

Опубликована: Янв. 6, 2025

Язык: 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, Год журнала: 2024, Номер 27, С. 101280 - 101280

Опубликована: Июль 6, 2024

Язык: Английский

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

Electric Power Systems Research, Год журнала: 2023, Номер 220, С. 109340 - 109340

Опубликована: Март 27, 2023

Язык: 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, Год журнала: 2024, Номер 133, С. 108175 - 108175

Опубликована: Март 19, 2024

Язык: 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, Год журнала: 2024, Номер 91, С. 101755 - 101755

Опубликована: Окт. 13, 2024

Язык: Английский

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

Sensors, Год журнала: 2024, Номер 24(4), С. 1113 - 1113

Опубликована: Фев. 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.

Язык: Английский

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

Control Engineering Practice, Год журнала: 2025, Номер 157, С. 106263 - 106263

Опубликована: Янв. 30, 2025

Язык: 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, Год журнала: 2025, Номер 81(3)

Опубликована: Фев. 4, 2025

Язык: 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, Год журнала: 2025, Номер unknown, С. 113394 - 113394

Опубликована: Апрель 1, 2025

Язык: 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, Год журнала: 2025, Номер 151, С. 110688 - 110688

Опубликована: Апрель 6, 2025

Язык: Английский

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