SOFC leakage fault diagnosis based on empirical wavelet transform
The stack of solid oxide fuel cells(SOFC)typically operates in high-temperature above 700 ℃.The sealing agent used in the stack is prone to degradation and failure under high temperature,leading to leakage faults,causing thermal runaway and damage to the stack,affecting the stability of system operation.A diagnostic method based on empirical wavelet transform(EWT)of stack temperature and voltage signals is proposed.Decompose temperature and voltage signals are decomposed using the EWT to obtain multi-resolution analysis(MRA).The MRA signal with obvious fault characteristics is analyzed to obtain time-domain features and determine whether there is a leakage by setting a threshold.Through the data from the kilowatt-level stack experimental platform,it is verified that the EWT diagnostic method can better detect stack leakage faults.Compared to voltage signals,the diagnose through temperature signals is more quickly.By comparing with the ensemble empirical mode decomposition diagnostic method,it is found that the EWT method can diagnose leakage faults more quickly.
system modelingsolid oxide fuel cell(SOFC)stack leakageempirical wavelet transform(EWT)
万方数据
维普
