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This chapter serves as a background of monitoring systems for pipeline networks by applying software-based fault diagnosis tools and briefly describes each contribution of this monograph. The term computational pipeline monitoring (CPM) refers to algorithmic monitoring tools that are used to enhance the abilities of the pipeline network’s operators in recognizing anomalies which may be indicative of products’ loss. The presented advanced methods and issues associated with models and features of pipeline networks are limited to scenarios of leaks and blockages in a single pipeline and pipeline networks. The framework of the procedures considers the physical variables associated with the flow process as measurements. In particular, pressure, flow, and temperature sensors are assumed to be located only at specific points of the pipeline networks. Thus, this chapter introduces the reader to the main theme of the monograph which is the analysis and design of advanced online automatic monitoring systems for pipeline networks by considering leaks and blocks as abnormal events. To simplify the understanding of the specific topics, the general fault detection and isolation (FDI) background is roughly presented in this chapter by citing tutorial books related to the FDI issues.
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- Chapter 1
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