Simulated Centrifugal Fan Blade Fault Diagnosis Based on Modulational Depthwise Convolution–One-Dimensional Convolution Neural Network (MDC-1DCNN) Model

Simulated Centrifugal Fan Blade Fault Diagnosis Based on Modulational Depthwise Convolution–One-Dimensional Convolution Neural Network (MDC-1DCNN) Model

Existing intelligent fault diagnosis methods have been widely developed and proven to be effective in monitoring the operating status of key mechanical components. However, centrifugal fans, as important equipment in energy and manufacturing industries, have been used for a long time in complex and...

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Bibliographic Details
Main Authors: Zhaohui Ren, Yulin Liu, Tianzhuang Yu, Shihua Zhou, Yongchao Zhang, Zeyu Jiang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Machines
Subjects:
convolution neural network
fault diagnosis
MDC-1DCNN model
DWconv
simulation analysis
Online Access:https://www.mdpi.com/2075-1702/13/5/356
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