AE Source Location Using Neural Network on AE Evaluation of Floor Conditions in Above-Ground Tank

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概要

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• Present study reports acoustic emission (AE) technique to evaluate corrosion damages of bottom plates (floor conditions) in above-ground tanks. Artificial AE signals were generated by pencil lead breaks at arbitrary locations on the bottom of a tank (300 kL in capacity) to investigate accuracy of AE source location. Attenuation of AE waves was shown to be very small in liquid. AE source location analysis was conducted, using a neural network (NN). Input and output units of the NN were arrival time differences between four AE sensors and coordinate of the AE source location, respectively. Arrival time differences of AE waves were determined by visual observation of the first signal arrivals and threshold crossing times of the AE signal normalized by its peak amplitude. It was concluded that accurate AE source location can be obtained by the decision process resulted from automated readings of threshold crossing time, based on the NN trained method by theoretical calculation.

• 一般社団法人 日本機械学会の論文

著者

• Homma Kyoji

  The University Of Electro-communications

• KOIKE Takuji

  The University of Electro-Communications

• MURAKAMI Sayuri

  The University of Electro-Communications

• YAMADA Minoru

  National Research Institute of Fire and Disaster

• YUYAMA Shigenori

  Nippon Physical Acoustics Ltd.

関連論文

• Studies of Photoelastic Image Processing : Series A : Solid-Mechanics Strength of Materials
• AE Source Location Using Neural Network on AE Evaluation of Floor Conditions in Above-Ground Tank

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