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- W2381406850 abstract "When an areo-engine is running,the vibration signals measured with sensors are mixed with all vibration sources and contain very strong noises.It's difficult to separate mixed signals with conventional methods of signal processing,so there are difficulties in machine health monitoring and fault diagnosis.The principle and method of blind source separation were introduced here,and it was pointed out that the blind source separation algorithm was invalid in strong noise environment.For the vibration signals in strong noise environment,they were de-noised with the time-delayed auto-correlation method firstly,and then the de-noised signals were separted with the blind source separation algorithm. The simulation results verified the effectiveness of the proposed method.Finally,some mixed rotor vibration signals were separated successfully using the proposed method.Thus,a new separation approach for mixed vibration signals in strong noise environment was provided." @default.
- W2381406850 created "2016-06-24" @default.
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- W2381406850 date "2011-01-01" @default.
- W2381406850 modified "2023-09-27" @default.
- W2381406850 title "Separating mixed rotor vibration signals based on auto-correlation de-noising" @default.
- W2381406850 hasPublicationYear "2011" @default.
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