Condition monitoring of wind turbine based on deep learning networks and kernel principal component analysis

A Zhu, Q Zhao, T Yang, L Zhou, B Zeng - Computers and Electrical …, 2023 - Elsevier
Condition monitoring is frequently hampered by the abominable working conditions of wind
turbines (WTs). The present study proposes a new approach for condition monitoring of WT …

Optimal detection and classification of grid connected system using MSVM-FSO technique

SRD Stallon, R Anand, R Kannan… - … Science and Pollution …, 2024 - Springer
This paper, a hybrid method, is proposed for protecting the hybrid photovoltaic (PV) and
wind turbine (WT) system. The proposed protecting method is the hybrid wrapper of both the …

Intelligent Detection Method of Power Grid Fault Big Data Based on Deep Learning

X Tian, Y Wang, Y Liu - … Conference on New Energy and Power …, 2023 - ieeexplore.ieee.org
To ensure the stable operation of the distribution network, a new approach is proposed for
the intelligent detection of power grid faults using deep learning and big data analysis. The …

Autonomous Inspection Method of UHV Substation Robot Based on Deep Learning in Cloud Computing Environment

Z Wang, R Meng, Z Zhao - Journal of Circuits, Systems and …, 2024 - World Scientific
Aiming at the problem that substation robots cannot automatically find and analyze the fault
equipment and carry out patrol inspection, a method of autonomous patrol inspection for …

Application of bare-bones cuckoo search algorithm for generator fault diagnosis

Y **ong, J Cheng - Recent Advances in Electrical & Electronic …, 2022 - benthamdirect.com
Background: The generator is a mechanical device that converts other forms of energy into
electrical energy. It is widely used in industrial and agricultural production and daily life …

Variable Ordering in Binary Decision Diagram using Spider Monkey Optimization for node and path length optimization

MB Siddiqui, MT Beg, SN Ahmad - IEICE Transactions on …, 2023 - search.ieice.org
Binary Decision Diagrams (BDDs) are an important data structure for the design of digital
circuits using VLSI CAD tools. The ordering of variables affects the total number of nodes …

[PDF][PDF] STUDY ON THE ANALYSIS OF FAULT DATA DURING INTELLIGENT OPERATION OF POWER EQUIPMENT WITH CLUSTER ANALYSIS

M Li, J Zhu, Z Liu - International Journal of Mechatronics and Applied …, 2023 - ijomam.com
Many fault-related data are generated in the intelligent operation of power equipment, and
analyzing these data can help understand the operating condition of the equipment. This …

Minimum error minimax probability machine based residual selection for fault detection

J Zhou, T Xue, M Zhong - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
With the rapid increase of the scale of modern industrial plants, a vast amount of
measurement data is available, which can be used to generate a large number of residuals …