![](/images/graphics-bg.png)
In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network
المؤلفون المشاركون
Hou, Dibo
Kumar, Dileep
Tu, Dezhan
Zhu, Naifu
Zhang, Hongjian
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-10-02
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Traditionally permanent acoustic sensors leak detection techniques have been proven to be very effective in water distribution pipes.
However, these methods need long distance deployment and proper position of sensors and cannot be implemented on underground pipelines.
An inline-inspection acoustic device is developed which consists of acoustic sensors.
The device will travel by the flow of water through the pipes which record all noise events and detect small leaks.
However, it records all the noise events regarding background noises, but the time domain noisy acoustic signal cannot manifest complete features such as the leak flow rate which does not distinguish the leak signal and environmental disturbance.
This paper presents an algorithm structure with the modularity of wavelet and neural network, which combines the capability of wavelet transform analyzing leakage signals and classification capability of artificial neural networks.
This study validates that the time domain is not evident to the complete features regarding noisy leak signals and significance of selection of mother wavelet to extract the noise event features in water distribution pipes.
The simulation consequences have shown that an appropriate mother wavelet has been selected and localized to extract the features of the signal with leak noise and background noise, and by neural network implementation, the method improves the classification performance of extracted features.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kumar, Dileep& Tu, Dezhan& Zhu, Naifu& Hou, Dibo& Zhang, Hongjian. 2017. In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network. Journal of Sensors،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187115
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kumar, Dileep…[et al.]. In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network. Journal of Sensors No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1187115
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kumar, Dileep& Tu, Dezhan& Zhu, Naifu& Hou, Dibo& Zhang, Hongjian. In-Line Acoustic Device Inspection of Leakage in Water Distribution Pipes Based on Wavelet and Neural Network. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1187115
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187115
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)