وصفت الجزء الأول محدد الانبعاثات الصوتية الذكي، بينما تناقش الجزء الثاني فصل المصدر الأعمى وتحديد التأخير الزمني وموقع مصادر الانبعاثات الصوتية المستمرتين. يستخدم تحليل الانبعاثات الصوتية (AE) لتشخيص وتحديد موقع العيوب الناشئة في المواد. ينتج مصادر AE عادة مخلوطا من عدة إشارات مستقلة إحصائيا. ومن المشكلات الصعبة في تحليل AE هو فصل وتشخيص مكونات الإشارة عندما يكونت الإشارات من مصادر مختلفة وطريقة الدمج مجهولة. وقد تم استخدام فصل المصدر الأعمى (BSS) باستخدام تحليل المكونات المستقلة (ICA) مؤخرا لحل هذه المشكلات. والغرض من هذا البحث هو إثبات تطبيق ICA لتحديد موقع مصادر انبعاثات صوتية مستقلتين نشطتين متوازيتين على نموذج حزام الألومنيوم. ويبدو هذا الأسلوب موجها لاختبار غير مدمر لهياكل الطائرات باستخدام تحليل الانبعاثات الصوتية.
Part I describes an intelligent acoustic emission locator, while Part II discusses blind source separation, time delay estimation and location of two continuous acoustic emission sources. Acoustic emission (AE) analysis is used for characterization and location of developing defects in materials. AE sources often generate a mixture of various statistically independent signals. A difficult problem of AE analysis is separation and characterization of signal components when the signals from various sources and the mode of mixing are unknown. Recently, blind source separation (BSS) by independent component analysis (ICA) has been used to solve these problems. The purpose of this paper is to demonstrate the applicability of ICA to locate two independent simultaneously active acoustic emission sources on an aluminum band specimen. The method is promising for non-destructive testing of aircraft frame structures by acoustic emission analysis.
The intelligent acoustic emission locator is described in Part I, while Part II discusses blind source separation, time delay estimation and location of two simultaneously active continuous acoustic emission sources. The location of acoustic emissi
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