NDLI: A Study on Multi-Data Source Fusion Method for Petroleum Pipeline Leak Detection

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Liang, Wei Zhang, Laibin
Copyright Year	2010
Abstract	This paper describes a new approach of data source fusion based on process fusion entropy for leak detecting of product pipelines. Data sources are either single-channeled or multi-channeled: single-channeled data sources can be structured or semi-structured process steady entropy, whereas multi-channeled sources are singular spectrum entropy and power spectrum entropy. In order to develop data sources fusion systems for pipeline leak detection in real-time contexts, we need to study all issues raised by the matching paradigms. This challenging problem becomes crucial with the dominating role of the internet. Classical approaches of data integration, based on schemas mediation, are not suitable to the pipeline SCADA (Supervisory Control and Data Acquisition) environment where data is frequently modified or updated. Therefore, we develop a loosely integrated approach that takes into consideration both steady and transient states which must be separated correctly in order to integrate new data sources. Moreover, we introduce a process fusion entropy-based Multi-data source Fusion Method (MFM) that aims to define and retrieve conflicting data from multiple data sources.
Sponsorship	International Petroleum Technology Institute and the Pipeline Division
Starting Page	463
Ending Page	470
Page Count	8
File Format	PDF
ISBN	9780791844229
DOI	10.1115/IPC2010-31070
e-ISBN	9780791838853
Volume Number	2010 8th International Pipeline Conference, Volume 3
Conference Proceedings	2010 8th International Pipeline Conference
Language	English
Publisher Date	2010-09-27
Publisher Place	Calgary, Alberta, Canada
Access Restriction	Subscribed
Subject Keyword	Process information fusion Leak detection Petroleum pipeline D-s evidence Leakage Petroleum pipelines
Content Type	Text
Resource Type	Article

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