VMD Based Fault Diagnosis Method for SOFC Stack Seal Failure and Leakage

When the solid oxide fuel cell (SOFC) operates for a long time at high temperature, due to the repeated start-stop cycle and long-term operation, the reactor is prone to seal failure, which will lead to leakage failure, and then lead to thermal runaway and damage of the reactor, which seriously affects the stability of the system operation. The change of parameters may lead to the occurrence of leakage faults and consequently thermal runaway of the stack or even abnormal system shutdown. Aiming at this fault, a diagnostic method based on the variational mode decomposition (VMD) and Hilbert transform (HT) is proposed through the experiment temperature and voltage signals. This method was applied to experimentally investigate the sealing failure leakage fault in SOFC stacks. The research results demonstrate that utilizing the fault diagnosis method based on VMD and HT can determine the presence of leakage in the stack under open-circuit conditions. By collecting the temperature and voltage signals of the stack and applying this fault diagnosis method, the temperature signal can more rapidly indicate the presence of a leakage fault in the stack. When comparing the diagnosis methods based on Ensemble Empirical Mode Decomposition and VMD, it was found that the latter can detect the leakage fault in the stack 100 seconds faster.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.11930/j.issn.1004-9649.202307033
Primary Topic
Advancements in Solid Oxide Fuel Cells
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VMD Based Fault Diagnosis Method for SOFC Stack Seal Failure and Leakage

SHILAP Revista de lepidopterología
Advancements in Solid Oxide Fuel Cells
article

VMD Based Fault Diagnosis Method for SOFC Stack Seal Failure and Leakage

article en

Abstract

When the solid oxide fuel cell (SOFC) operates for a long time at high temperature, due to the repeated start-stop cycle and long-term operation, the reactor is prone to seal failure, which will lead to leakage failure, and then lead to thermal runaway and damage of the reactor, which seriously affects the stability of the system operation. The change of parameters may lead to the occurrence of leakage faults and consequently thermal runaway of the stack or even abnormal system shutdown. Aiming at this fault, a diagnostic method based on the variational mode decomposition (VMD) and Hilbert transform (HT) is proposed through the experiment temperature and voltage signals. This method was applied to experimentally investigate the sealing failure leakage fault in SOFC stacks. The research results demonstrate that utilizing the fault diagnosis method based on VMD and HT can determine the presence of leakage in the stack under open-circuit conditions. By collecting the temperature and voltage signals of the stack and applying this fault diagnosis method, the temperature signal can more rapidly indicate the presence of a leakage fault in the stack. When comparing the diagnosis methods based on Ensemble Empirical Mode Decomposition and VMD, it was found that the latter can detect the leakage fault in the stack 100 seconds faster.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 75%
Advancements in Solid Oxide Fuel Cells
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.