Fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data-driven approaches

Fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data-driven approaches

In this paper, data-driven approaches are applied to identify faults of a practical PEM fuel cell system. Signal processing approaches are selected and employed to multiple sensor measurements, including methodologies reducing the dimension of the original dataset, and techniques extracting features...

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Bibliographic Details
Main Authors: Lei Mao, Lisa Jackson, Sarah Dunnett
Format: Default Article
Published: 2016
Subjects:
Mechanical engineering not elsewhere classified
Other engineering not elsewhere classified
Data-driven approach
Fault diagnosis
Feature selection
PEM fuel cell
Signal processing technique
Mechanical Engineering
Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/22761
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https://hdl.handle.net/2134/22761

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