Intelligent Fault Diagnosis for BLDC With Incorporating Accuracy and False Negative Rate in Feature Selection Optimization

Intelligent Fault Diagnosis for BLDC With Incorporating Accuracy and False Negative Rate in Feature Selection Optimization

Early fault diagnosis is essential for the proper operation of rotating machines. This article proposes a fitness function in differential evolution (DE) that considers accuracy rate and false negative rate for optimization in brushless DC (BLDC) motor fault diagnosis. Feature selection based on a d...

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Bibliographic Details
Main Authors: Chun-Yao Lee, Chen-Hsu Hung, Truong-An Le
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Brushless DC
differential evolution
fault diagnosis
feature selection
Online Access:https://ieeexplore.ieee.org/document/9808149/

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