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- W2370732264 abstract "Equipment condition signal processing is the foundation of condition monitoring and fault diagnosis.In the actual environment,the mechanical vibration signals collected by the sensors are probably the nonlinear mixture of the source vibration signals or distorted signals.The traditional vibration signal processing methods are not good enough for processing the nonlinearly mixed signals.However,nonlinear Blind Sources Separation(BSS),due to its unique superiority in blind processing,can remove noises and external perturbations in the collected signals effectively and extract the source signals.As a result,it raises the accuracy of the diagnostic performance.In this paper,applying the nonlinear BSS technique,the vibration signals of bearing faults in a helicopter gearbox were extracted.The results show that the method of nonlinear BSS is an effective method for signal processing in the field of mechanical fault diagnosis." @default.
- W2370732264 created "2016-06-24" @default.
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- W2370732264 date "2008-01-01" @default.
- W2370732264 modified "2023-09-26" @default.
- W2370732264 title "Blind Source Separation for Nonlinearly Mixed Mechanical Vibration Signals" @default.
- W2370732264 hasPublicationYear "2008" @default.
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