Data-Driven Fault Diagnosis for Automotive PEMFC Systems Based on the Steady-State Identification

Data-Driven Fault Diagnosis for Automotive PEMFC Systems Based on the Steady-State Identification

Data-driven diagnosis methods for faults of proton exchange membrane fuel cell (PEMFC) systems can diagnose faults through the state variable data collected during the operation of the PEMFC system. However, the state variable data collected from the PEMFC system during the stack switching between d...

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Bibliographic Details
Main Authors: Ying Tian, Qiang Zou, Jin Han
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
PEMFC system
fault diagnosis
steady-state identification
relevance vector machine
Online Access:https://www.mdpi.com/1996-1073/14/7/1918

Internet

https://www.mdpi.com/1996-1073/14/7/1918

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