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Some applications of fault isolation and diagnosis based on Labview
In modern technologies the virtual equipment techniques can greatly help the fault diagnosis of the gear box in the sense that they can share the hardware and software recourses and compromise a self test system. In this paper the Labview was first used to set up the data acquisition and analysis platform. The data pre-processing software was designed including resonance demodulation and synchronizing average in the time domain, which can provide the analyzed data for the post-diagnosis. Then the BP neural network model was utilized for the fault diagnosis. The experiment results showed that the combination of these two processing methods can help reject the noise signals, thus expose the fault attributes and greatly reduce the false diagnosis.
Some applications of fault isolation and diagnosis based on Labview
In modern technologies the virtual equipment techniques can greatly help the fault diagnosis of the gear box in the sense that they can share the hardware and software recourses and compromise a self test system. In this paper the Labview was first used to set up the data acquisition and analysis platform. The data pre-processing software was designed including resonance demodulation and synchronizing average in the time domain, which can provide the analyzed data for the post-diagnosis. Then the BP neural network model was utilized for the fault diagnosis. The experiment results showed that the combination of these two processing methods can help reject the noise signals, thus expose the fault attributes and greatly reduce the false diagnosis.
Some applications of fault isolation and diagnosis based on Labview
Yan, Hongwei (Autor:in) / Kou, Ziming (Autor:in)
2010
6 Seiten, 11 Quellen
Aufsatz (Konferenz)
Englisch
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