caa a22 4500 606173099 CHVBK 20210128100731.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10921-015-0304-x doi (NATIONALLICENCE)springer-10.1007/s10921-015-0304-x Efficient Signal Processing Techniques for Distillation Column Malfunctions Identification [Elektronische Daten] [M. Hammad, Moawad Dessouky, O. Zahran, H. Kasban, Sayed Elaraby, Fathi El-Samie] This paper presents some advanced signal processing techniques for distillation column malfunctions identification as one of the most common industrial radioisotopes applications. In this industrial application, gamma scanning technique is used for examining the inner details of the column by recording the variations of the received gamma ray intensity resulting from variations of the material density inside the column. Gamma intensity variations can be analyzed for detection and identification of the distillation column malfunctions. In the proposed approach, the signals are divided into frames; each frame represents the signal of one column tray only to be able to accurately determine the position of the defected tray from the entire column. Discrete Cosine Transform, Discrete Sine Transform, matched filtering, the Higher Order Statistics (Bispectrum and Trispectrum) are the signal processing tools utilized for further cepstral feature extraction. The extracted features are fed to a Support Vector Machine (SVM) or an Artificial Neural Network (ANN) classifier for the identification purpose. The results prove thatthe proposed approach can be used efficiently for the distillation column malfunctions identification and that the Bispectrum achieves the highest identification rate. For the classifiers, the SVM classifier achieves a higher identification rate and takes a shorter time compared to the ANN classifier. Springer Science+Business Media New York, 2015 Gamma scanning nationallicence Distillation columns malfunctions nationallicence Matched filter nationallicence SVM nationallicence ANN nationallicence Hammad M. Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt aut Dessouky Moawad Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menofia University, 32952, Menouf, Egypt aut Zahran O. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menofia University, 32952, Menouf, Egypt aut Kasban H. Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt aut Elaraby Sayed Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt aut El-Samie Fathi Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menofia University, 32952, Menouf, Egypt aut Journal of Nondestructive Evaluation Springer US; http://www.springer-ny.com 34/4(2015-12-01), 1-9 0195-9298 34:4<1 2015 34 10921 https://doi.org/10.1007/s10921-015-0304-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10921-015-0304-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hammad M. Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt aut NATIONALLICENCE 700 1- Dessouky Moawad Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menofia University, 32952, Menouf, Egypt aut NATIONALLICENCE 700 1- Zahran O. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menofia University, 32952, Menouf, Egypt aut NATIONALLICENCE 700 1- Kasban H. Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt aut NATIONALLICENCE 700 1- Elaraby Sayed Engineering Department, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt aut NATIONALLICENCE 700 1- El-Samie Fathi Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menofia University, 32952, Menouf, Egypt aut NATIONALLICENCE 773 0- Journal of Nondestructive Evaluation Springer US; http://www.springer-ny.com 34/4(2015-12-01), 1-9 0195-9298 34:4<1 2015 34 10921