Research on Online Diagnosis Method of Fuel Cell Centrifugal Air Compressor Surge Fault

Su Zhou, Jie Jin and Yuehua Wei
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Su Zhou: School of Automotive Studies, Tongji University, Cao An 4800, Shanghai 201804, China
Jie Jin: School of Automotive Studies, Tongji University, Cao An 4800, Shanghai 201804, China
Yuehua Wei: School of Automotive Studies, Tongji University, Cao An 4800, Shanghai 201804, China

Energies, 2021, vol. 14, issue 11, 1-15

Abstract: Stable operation of fuel cell air compressions is constrained by rotating surge in low flowrate conditions. In this paper, a diagnosis criterion based on wavelet transform to solve the surge fault is proposed. First of all, the Fourier transform was used to analyze the spectral characteristics of the outlet flowrate. Before wavelet transform was used, the data are standardized. This step eliminated the influence of the flowrate’s absolute value. Then, the wavelet coefficients under characteristic frequencies were extracted. Finally, the diagnosis criterion’s threshold, which indicates the surge occurrence, was defined from the perspective of safety margin. The criterion threshold alerted a surge only 1 s after it occurred. The analysis results show that the criterion meets with the expectation, and it can be used for the control of anti-surge valve.

Keywords: centrifugal air compressor; surge; 0–1 standardization; wavelet transform; coefficient extraction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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