Diagnosis of steam turbine rotor based on improved convolutional neural network algorithm

Diagnosis of steam turbine rotor based on improved convolutional neural network algorithm

Abstract To address the challenges of insufficient precision and limited adaptability in conventional rotor fault diagnosis methods, we propose a new approach using convolutional neural networks. This aims to effectively identify complex and diverse fault patterns in a steam turbine rotor through a...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhongtao Zhou, Miao Zhou, Hui Huang, Yanghai Li, Wanbing Xu
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Artificial Intelligence
Subjects:
Rotor systems
Fault diagnosis
CNN
Deep learning
Online Access:https://doi.org/10.1007/s44163-025-00269-x
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items