Deep time series models: A comprehensive survey and benchmark
Enhancing HVDC transmission line fault detection using disjoint bagging and bayesian optimization with artificial neural networks and scientometric insights
DC grid fault protection techniques have previously faced challenges such as fixed
thresholds, insensitivity to high-resistance faults, and dependency on specific threshold …
thresholds, insensitivity to high-resistance faults, and dependency on specific threshold …
Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants
Reservoir level control in hydroelectric power plants has importance for the stability of the
electric power supply over time and can be used for flood control. In this sense, this paper …
electric power supply over time and can be used for flood control. In this sense, this paper …
A survey on change detection and time series analysis with applications
With the advent of the digital computer, time series analysis has gained wide attention and is
being applied to many fields of science. This paper reviews many traditional and recent …
being applied to many fields of science. This paper reviews many traditional and recent …
Wavelet LSTM for fault forecasting in electrical power grids
An electric power distribution utility is responsible for providing energy to consumers in a
continuous and stable way. Failures in the electrical power system reduce the reliability …
continuous and stable way. Failures in the electrical power system reduce the reliability …
Machine fault detection using a hybrid CNN-LSTM attention-based model
The predictive maintenance of electrical machines is a critical issue for companies, as it can
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this …
Research on image denoising in edge detection based on wavelet transform
N You, L Han, D Zhu, W Song - Applied Sciences, 2023 - mdpi.com
Photographing images is used as a common detection tool during the process of bridge
maintenance. The edges in an image can provide a lot of valuable information, but the …
maintenance. The edges in an image can provide a lot of valuable information, but the …
[PDF][PDF] Comparative analysis of wavelet transform for time-frequency analysis and transient localization in structural health monitoring
ABSTRACT A critical problem facing data collection in structural health monitoring, for
instance via sensor networks, is how to extract the main components and useful features for …
instance via sensor networks, is how to extract the main components and useful features for …
A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine
KT Chui, BB Gupta, P Vasant - Electronics, 2021 - mdpi.com
Understanding the remaining useful life (RUL) of equipment is crucial for optimal predictive
maintenance (PdM). This addresses the issues of equipment downtime and unnecessary …
maintenance (PdM). This addresses the issues of equipment downtime and unnecessary …