ArticleSensors (Basel, Switzerland)2023
Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 79 citations in OpenAlex.
- Article
- A Degradation Warning Method for Ultra-High Voltage Energy Devices Based on Time-Frequency Feature Prediction.Sensors (Basel, Switzerland) · 2025Article
- Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism.Entropy (Basel, Switzerland) · 2025Article
- Review
- Classification of RTV-coated porcelain insulator condition under different profiles and levels of pollution.Scientific reports · 2024Article
- Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid.Sensors (Basel, Switzerland) · 2024Article
- A Review of Automation and Sensors: Parameter Control of Thermal Treatments for Electrical Power Generation.Sensors (Basel, Switzerland) · 2024Review
- Mathematically Improved XGBoost Algorithm for Truck Hoisting Detection in Container Unloading.Sensors (Basel, Switzerland) · 2024Article
- Video-Based Human Activity Recognition Using Deep Learning Approaches.Sensors (Basel, Switzerland) · 2023Article
- Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction.Sensors (Basel, Switzerland) · 2023Article
- Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Insulators installed outdoors are vulnerable to the accumulation of contaminants on their surface, which raise their conductivity and increase leakage current until a flashover occurs. To improve the reliability of the electrical power system, it is possible to evaluate the development of the fault in relation to the increase in leakage current and thus predict whether a shutdown may occur. This paper proposes the use of empirical wavelet transform (EWT) to reduce the influence of non-representative variations and combines the attention mechanism with a long short-term memory (LSTM) recurrent network for prediction. The Optuna framework has been applied for hyperparameter optimization, resulting in a method called optimized EWT-Seq2Seq-LSTM with attention. The proposed model had a 10.17% lower mean square error (MSE) than the standard LSTM and a 5.36% lower MSE than the model without optimization, showing that the attention mechanism and hyperparameter optimization is a promising strategy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.