Pressure Vessel Diagnosis by Eliminating Undesired Signal Sources and Incorporating GA-Based Fault Feature Evaluation

Pressure Vessel Diagnosis by Eliminating Undesired Signal Sources and Incorporating GA-Based Fault Feature Evaluation

This paper proposes a reliable fault detection model for a pressure vessel under low pressure conditions. To improve the diagnostic performance, signals of different vessel health conditions are purified by eliminating noise so that signals of different categories are much more distinguishable. This...

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Bibliographic Details
Main Authors: Viet Tra, Jongmyon Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Pressure vessel
fault diagnosis
blind source separation
genetic algorithm
k-nearest neighbors
Online Access:https://ieeexplore.ieee.org/document/9145547/

Internet

https://ieeexplore.ieee.org/document/9145547/

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