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An acoustic method for condition classification of a water-filled underground siphon

التفاصيل البيبلوغرافية
العنوان: An acoustic method for condition classification of a water-filled underground siphon
المؤلفون: Zao Feng, Kirill V Horoshenkov, GuoYong Huang
المصدر: Advances in Mechanical Engineering, Vol 11 (2019)
بيانات النشر: SAGE Publishing, 2019.
سنة النشر: 2019
المجموعة: LCC:Mechanical engineering and machinery
مصطلحات موضوعية: Mechanical engineering and machinery, TJ1-1570
الوصف: This article reports on an application of the k-nearest neighbours pattern recognition and classification technique to condition monitoring in a full-scale, water-filled siphon that is located beneath the underground. An experimental facility has been designed and constructed at the University of Bradford to study using acoustic waves as excitation to observe the characteristics of pipe sediments and wall damages on an underground sewer siphon. The effects of different amounts of sediment inside the siphon and different size of artificial damage on the pipe wall have been studied. The sound pressure level and acoustic energy were calculated from the acoustic signals which were recorded from three hydrophones under several representative siphon conditions to extract useful features in order that the proposed k-nearest neighbours classification algorithm could be applied. It has been proven that acoustic-based approach is capable of providing sufficient information on the condition of pipes for reliable classification and fault detection.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-8140
16878140
Relation: https://doaj.org/toc/1687-8140
DOI: 10.1177/1687814019840893
URL الوصول: https://doaj.org/article/87d6d6a89e774ff8a4a6acd0950cf228
رقم الانضمام: edsdoj.87d6d6a89e774ff8a4a6acd0950cf228
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16878140
DOI:10.1177/1687814019840893