System identification: theory for the user
System identification: theory for the user
Fault diagnosis in dynamic systems: theory and application
Fault diagnosis in dynamic systems: theory and application
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Imunogenetic Technique To Detect Anomalies In Network Traffic
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Fuzzy filter design for itô stochastic systems with application to sensor fault detection
IEEE Transactions on Fuzzy Systems
Process fault detection based on modeling and estimation methods-A survey
Automatica (Journal of IFAC)
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Pipeline leakage is a demand from governmental and environmental associations that companies need to comply with. Due the high accuracy on detecting leakage, it is necessary to set procedures that will achieve the leading performance. This paper describes a methodology to set instrumentations systems to accomplish with the legal requirement keeping high reliability during normal and fail operations conditions. To achieving the described state this paper proposes a set of models acting as Expert systems: each one observing and diagnosing pipeline leakage in real-time. The proposed system also validates the operations according the business rules applied to it. A set of techniques is applied in order to be possible the system executes its function: fuzzy logic, neural network, genetic algorithm and statistic analysis. The application of the methodology proposed is in operation supervising pipeline in a Brazilian petroleum installation.