کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4981020 1453335 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel acoustic emission detection module for leakage recognition in a gas pipeline valve
ترجمه فارسی عنوان
یک ماژول تشخیص انتشار آلودگی جدید برای تشخیص نشت در شیر لوله گاز
کلمات کلیدی
تشخیص نشت دریچه، انتشار آکوستیک، تجزیه و تحلیل مولفه اصلی هسته، ماشین بردار پشتیبانی، تست غیرمخرب،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
چکیده انگلیسی
Internal valve leakage in a natural gas pipeline seriously impairs the safe operation on pipelines, and the recognition of leakages has therefore been a major concern of the industry. In this study, a novel leakage detection scheme based on kernel principal component analysis (kernel PCA) and the support vector machine (SVM) classifier for the recognition of the leakage level is constructed. Using this approach, the acoustic signal of the leakage is obtained as the feature source using an acoustic emission (AE) sensor. The kernel PCA is used to reduce the dimensionality of the features and extract the optimal features for the classification process, and the SVM is applied to perform the recognition of the leakage levels. The performance of the classification process based on kernel PCA and the classifier are evaluated in terms of the accuracy, Cohen's kappa number and training time. The experimental results demonstrate that the intelligent recognition model based on kernel PCA and SVM classifier is very effective for recognizing the leakage level of a valve in a natural gas pipeline.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Process Safety and Environmental Protection - Volume 105, January 2017, Pages 32-40
نویسندگان
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