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- W2364503766 abstract "Considering the complicated and non-linear characteristics of the vibrational signal of flue gas turbine,the iterative singular value decomposition(ISVD) de-noising and correlation dimension were applied in fault diagnosis of flue gas turbine.To eliminate the noise,the low-pass filter and the ISVD de-noising were applied separately.Then the correlation dimensions of vibration signal of flue gas turbine under different fault conditions were estimated.The results show that the effect of the low-pass filter is not obvious while the ISVD de-noising can reduce noise effectively.Comparing with the pseudo-phase portrait reconstructed from signal containing noise,the pseudo-phase portrait reconstructed after ISVD de-noising is more regular.By ISVD de-noising,the scale region on the log-log plot of correlation integrals becomes wider.The correlation dimension is obviously different for different fault conditions after ISVD de-noising,so it can be used as the quantitative characteristic parameter for fault diagnosis.This offers a simple and effective method for fault diagnosis of flue gas turbine." @default.
- W2364503766 created "2016-06-24" @default.
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- W2364503766 date "2009-01-01" @default.
- W2364503766 modified "2023-09-23" @default.
- W2364503766 title "Application of ISVD de-noising and correlation dimension in fault diagnosis of flue gas turbine" @default.
- W2364503766 hasPublicationYear "2009" @default.
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