TL;DR
Results indicate that the IALO-optimized hybrid model has significant theoretical and practical value in smart grid fault diagnosis and stability prediction and proposes an Improved Antlion Optimization (IALO) algorithm.
To effectively address the shortcomings of transformer fault diagnosis—namely, the limited variety of characteristic gases and low diagnostic accuracy—this paper proposes a novel method for transformer fault diagnosis that optimizes a convolutional neural network (CNN) using hybrid feature selection (HFS) and an improv...
The method in this paper has achieved significant performance improvement in the three dimensions of diagnosis accuracy, prediction reliability and computational efficiency, and provides complete technical support for the intelligent operation and maintenance of power transformers from state recognition to trend predic...
Experimental results demonstrate that the proposed framework achieves improved accuracy and stability compared with existing methods, highlighting its potential applicability to a broad class of engineering fault diagnosis and condition monitoring problems.
According to the findings, the dual-attention network together with the hybrid dilation approach improves the performance of multi-energy complementary power system fault diagnosis by increasing the convergence speed, monitoring accuracy, and reducing the number of false alarms.
A new stacking-ensemble hybrid machine learning model that will combine a one-dimensional convolutional neural network with a bidirectional long short-term memory (CNN-BiLSTM) module, a Random Forest classifier, and an XGBoost gradient booster as base learners under the guidance of a logistic regression meta-learner is...
To address the complex fault characteristics of electrical secondary circuits and the limited diagnostic capability of single-source information, this study proposes an intelligent fault diagnosis method based on multi-feature fusion deep learning. Current and voltage waveforms, statistical parameters, protection oper...
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