Apr 3, 2023 · Diagnosis of transformer faults using multi-class AdaBoost algorithm ; Area. Machine Learning ; Author. Chilla Kaveri, Chagam Reddy Bhargavi, ...
input is produced using the enhanced ratio approach. The diagnosis method suggested in this paper has a significant increase in diagnostic accuracy when ...
Missing: published | Show results with:published
Aug 30, 2023 · In answer to this challenge, this study provides a transformer defect diagnostic approach based on Multi-class AdaBoost Algorithms. First, the ...
Missing: IJARIIT | Show results with:IJARIIT
In answer to this challenge, this study provides a transformer defect diagnostic approach based on Multi-class AdaBoost Algorithms. First, the AdaBoost ...
Missing: IJARIIT | Show results with:IJARIIT
This paper proposes a transformer fault diagnosis method based on Multi-class AdaBoost Algorithms in response to this problem. First, the AdaBoost algorithm is ...
Missing: IJARIIT | Show results with:IJARIIT
This article proposes an acoustic seabed classification method that combines AdaBoost with the particle swarm optimization (PSO) and demonstrates that the ...
Missing: IJARIIT | Show results with:IJARIIT
improvement of power transformer faults diagnostic using knn classifier with decision tree principle. IEEE Access 9, 81693–81701. doi:10.1109/access ...
Missing: published IJARIIT
Transformer Fault Diagnosis Based on Multi-Class AdaBoost Algorithm. Li, Jifang; ;; Li, Genxu; ;; Hai, Chen; ;; Guo, Mengbo. Abstract. Publication: IEEE Access.
Missing: Research Paper published IJARIIT
IRJET- Fault Detection and Maintenance Prediction for Gear of an ...
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Dec 1, 2019 · This document discusses using machine learning algorithms to detect faults and predict maintenance needs for gears in an industrial gearbox.
This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area.