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PCA Classification of vibration signals in WSN based oil pipeline monitoring system
Other Title(s)
تصنيف تحليل المكونات الرئيسية لإشارات الاهتزاز في نظام مراقبة خط أنابيب النفط القائم على شبكات الاستشعار اللاسلكية
Joint Authors
Musa, Nashid Faysal
Sharif, Walid Fawwaz
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 11, Issue 1 (31 Mar. 2019), pp.60-71, 12 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2019-03-31
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Using wireless sensor network technology in structure health monitoring applications results in generating large amount of data.
To sift through this data and extract useful information an extensive data analysis should be applied.
In this paper, a Wireless Sensor Network (WSNs) is proposed for the oil pipeline monitoring system with proposed method for event detection and classification.
The method depends on the Principal Component Analysis (PCA).
It applied to features extracted from vibration signals of the monitored pipeline.
These vibration signals are collected while applying damage events (knocking and drilling) to the oil pipeline.
PCA is applied to features extracted from both time domain and frequency domain.
The results manifest that this method is able to detect the existence of damage and also to distinguish between the different levels of harmful events applied to the pipeline.
American Psychological Association (APA)
Sharif, Walid Fawwaz& Musa, Nashid Faysal. 2019. PCA Classification of vibration signals in WSN based oil pipeline monitoring system. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 11, no. 1, pp.60-71.
https://search.emarefa.net/detail/BIM-971644
Modern Language Association (MLA)
Sharif, Walid Fawwaz& Musa, Nashid Faysal. PCA Classification of vibration signals in WSN based oil pipeline monitoring system. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 11, no. 1 (2019), pp.60-71.
https://search.emarefa.net/detail/BIM-971644
American Medical Association (AMA)
Sharif, Walid Fawwaz& Musa, Nashid Faysal. PCA Classification of vibration signals in WSN based oil pipeline monitoring system. al-Qadisiyah Journal for Computer Science and Mathematics. 2019. Vol. 11, no. 1, pp.60-71.
https://search.emarefa.net/detail/BIM-971644
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 70-71
Record ID
BIM-971644