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A method of acoustic emission defect inspection based on wavelet packet analysis and BPNN (BP neural network)is introduced. The method of wavelet packet based on sections and energy-moment feature is used to replace the traditional “wavelet packet-energy” to pick-up characteristics of AE signals. The efficiency of this method is validated by experiment of metal vessel defect diagnosis. The result...
Based on the study of the theory and constituent of the electronic nose systems, a set of combined gas sensor array, microcontroller and PC for detection of gas mixture is designed and constructed. Four kinds of gas (hydrogen, methane, acetylene, propane) are tested by the system. The feature parameters are picked up from each curve of the gas sensor's reaction. The experimental samples are analyzed...
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