Active Fault Diagnosis Method Based on Deep Forest and Its Industrial Application

Wind turbine equipment, as a key component in the process production control of thermal power plants, directly affects the power generation efficiency of the plant. Due to the non-linear and non-stationary nature of the signals acquired from wind turbine sensors, this paper presents a novel active f...

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Bibliographic Details
Published in:	2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT) pp. 241 - 246
Main Authors:	Li, Dong, He, Kaixun, Tao, Lili, Liu, Hanlong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 08.11.2024
Subjects:	active fault diagnosis Borutashap deep forest Deep learning Fault diagnosis Feature extraction Machine learning algorithms pearson Power generation Random forests Regression analysis Tuning Whale optimization algorithms wind turbine equipment Wind turbines WOA
Online Access:	Get full text
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