配管減肉のモニタリングと予測に基づく配管システムのリスク管理 (4)電磁超音波共鳴法による配管減肉測定のデータ処理方法
英字タイトル:
Piping System, Risk Management based on Wall Thinning Monitoring and Prediction Data Processing Methods of Pipe Wall Thinning Measurement by Electromagnetic Acoustic Resonance (EMAR)
著者:
孫 宏君 浦山 良一 内一 哲哉 高木 敏行 （東北大）
発刊日:
公開日:
Autocorrelation functionCepstrumElectromagnetic acoustic resonanceElectromagnetic acoustic transducerMultiplication of nth compressionSuperposition of nth compression
Piping System, Risk Management based on Wall Thinning Monitoring and Prediction Data Processing Methods of Pipe Wall Thinning Measurement by Electromagnetic Acoustic Resonance (EMAR)
著者:
孫 宏君 浦山 良一 内一 哲哉 高木 敏行 （東北大）
発刊日:
公開日:
カテゴリ: 第16回
キーワードタグ:Autocorrelation functionCepstrumElectromagnetic acoustic resonanceElectromagnetic acoustic transducerMultiplication of nth compressionSuperposition of nth compression
概要
The electromagnetic acoustic resonance (EMAR) method with an electromagnetic acoustic transducer (EMAT) is proposed for pipe wall thinning measurement in the previous study. In this study, the Cepstrum method is proposed to process the data obtained by an EMAR method, and it is compared with the previous autocorrelation function (ACF), superposition of nth compression (SNC), multiplication of nth compression (MNC) methods. The Cepstrum method can evaluate the thickness range of the specimen under EMAT. Also, the thickness difference between the maximum and minimum thicknesses calculated by the Cepstrum method might evaluate the uneven thickness condition of the specimen.
