武鑫, 胡超, 王祺, 熊星宇, 胡亮, 钱相臣. 基于VMD的SOFC电堆密封失效泄漏故障诊断方法[J]. 中国电力. DOI: 10.11930/j.issn.1004-9649.202307033
引用本文: 武鑫, 胡超, 王祺, 熊星宇, 胡亮, 钱相臣. 基于VMD的SOFC电堆密封失效泄漏故障诊断方法[J]. 中国电力. DOI: 10.11930/j.issn.1004-9649.202307033
WU Xin, HU Chao, WANG Qi, XIONG Xingyu, HU Liang, QIAN Xiangchen. VMD Based Fault Diagnosis Method for SOFC Stack Seal Failure and Leakage[J]. Electric Power. DOI: 10.11930/j.issn.1004-9649.202307033
Citation: WU Xin, HU Chao, WANG Qi, XIONG Xingyu, HU Liang, QIAN Xiangchen. VMD Based Fault Diagnosis Method for SOFC Stack Seal Failure and Leakage[J]. Electric Power. DOI: 10.11930/j.issn.1004-9649.202307033

基于VMD的SOFC电堆密封失效泄漏故障诊断方法

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

  • 摘要: 固体氧化物燃料电池(solid oxide fuel cell,SOFC)在高温下长时间工作时,由于反复启停循环以及长时间运行后电堆容易发生密封失效,会导致泄漏故障发生,进而引发电堆的热失控和损坏,严重影响系统运行稳定性。针对此故障,根据实验获得的电堆温度及电压信号,提出了一种基于变分模态分解(variational mode decomposition,VMD)和希尔伯特变换(Hilbert transform,HT)的诊断方法。采用该方法,通过实验研究了SOFC电堆密封失效泄漏故障,研究结果表明:利用基于VMD和HT方法的电堆泄漏故障诊断方法,可以判断在电堆开路状态是否存在泄漏问题;通过采集电堆的温度和电压信号,并采用该故障诊断方法,可以发现温度信号能够更快地反映电堆的泄漏故障;通过对比基于集合经验模态分解方法和VMD方法的电堆泄漏故障诊断方法,发现后者能够提前100 s检测电堆的泄漏故障。

     

    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.

     

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