This book focuses on the analysis and design of advanced techniques for on-line automatic computational monitoring of pipelines and pipe networks. It discusses how to improve the systems' security considering mathematical models of the flow, historical flow rate and pressure data, with the main goal of reducing the number of sensors installed along a pipeline. The techniques presented in the book have been implemented in digital systems to enhance the abilities of the pipeline network's operators in recognizing anomalies. A real leak scenario in a Mexican water pipeline is used to illustrate the benefits of these techniques in locating the position of a leak. Intended for an interdisciplinary audience, the book addresses researchers and professionals in the areas of mechanical, civil and control engineering. It covers topics on fluid mechanics, instrumentation, automatic control, signal processing, computing, construction and diagnostic technologies.

This book focuses on the analysis and design of advanced techniques for on-line automatic computational monitoring of pipelines and pipe networks. It discusses how to improve the systems' security considering mathematical models of the flow, historical flow rate and pressure data, with the main goal of reducing the number of sensors installed along a pipeline. The techniques presented in the book have been implemented in digital systems to enhance the abilities of the pipeline network's operators in recognizing anomalies. A real leak scenario in a Mexican water pipeline is used to illustrate the benefits of these techniques in locating the position of a leak. Intended for an interdisciplinary audience, the book addresses researchers and professionals in the areas of mechanical, civil and control engineering. It covers topics on fluid mechanics, instrumentation, automatic control, signal processing, computing, construction and diagnostic technologies.

Esta obra describe un metodo para deteccion y aislamiento de fallas (FDI) en procesos cuyos modelos analiticos no se disponen como sucede en sistemas de gran escala. Se integra el analisis estructural con modelos de componentes principales dinamicos (DPCA) lo cual se denomina modelos estructurados DPCA. Del analisis estructural del proceso resultan subsistemas llamados grafos redundantes (GR - relacion entre variables medibles y subconjuntos de restricciones) que determinan su diagnosticabilidad. Los generadores de residuos para cada GR se implementan usando DPCA. Las falsas alarmas en la deteccion de fallas, debido a condiciones no estacionarias en las variables (cambios de punto de operacion o fallas externas a un generador de residuos) se resuelven con un mecanismo de estandarizacion adaptable para cada generador de residuo basado en correspondientes modelos FIR identificados simultaneamente al modelado DPCA. El metodo de FDI logra deteccion robusta con maxima aislabilidad y para su implementacion solo requiere de un conjunto de datos nominales del proceso. El libro provee una introduccion al tema de FDI y analisis estructural, asi como una detallada descripcion de DPCA."