| Citation: | WANG Xin, HUANG Dan, PENG Shenghong, et al. Research on online detection of test status for heavy gas turbine compressors[J]. Journal of Aerospace Power, 2023, 38（12）：3043-3049 doi: 10.13224/j.cnki.jasp.20230589
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Based on the characteristics of heavy gas turbine compressor components, such as heavy weight, large air flow, high rotating speed, and high test risk, research on the online detection technology of double-redundancy-model for heavy gas turbine compressor components’ test status was carried out. By analyzing parameter characteristics of unstable operating status in compressors test, designing identification algorithm based on time-frequency and wavelet analysis, a double-redundancy-model online detection system for heavy gas turbine compressors’ test status was developed with domestic independent intellectual property rights, then the technological problem of effective safety automatic detection in the test process was solved. Compared with similar domestic products, the system can detect the dynamic characteristic signal of unstable operating status for compressors test more reliably, accurately and timely, and identify response time of the system within 50 ms. The research can provide the ability of on-line pre-warning of the test status for heavy gas turbine compressor components.
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