Paper Info
Title
Design of a pipeline leakage detection using expert system: A novel approach
Abstract
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.
Year
DOI
Venue
2011
10.1016/j.asoc.2010.02.005
Appl. Soft Comput.
Keywords
Field
DocType
pipeline leakage,high reliability,fault detection,diagnosing pipeline leakage,fuzzy systems,high accuracy,novel approach,expert system,neural networks,pipeline leakage detection,ensembles,operations condition,brazilian petroleum installation,proposed system,instrumentations system,business rule,statistical analysis,genetic algorithm,real time,business rules,neural network,fuzzy system,operant conditioning,fuzzy logic
Neuro-fuzzy,Fuzzy set operations,Fault detection and isolation,Expert system,Fuzzy logic,Artificial intelligence,Fuzzy control system,Adaptive neuro fuzzy inference system,Machine learning,Mathematics,Business rule
Journal
Volume
Issue
ISSN
11
1
Applied Soft Computing Journal
Citations 
PageRank 
References 
8
0.81
6
Authors
4
Name
Order
Citations
PageRank
C. A. Laurentys1703.77
C. H. M. Bomfim2101.19
B. R. Menezes3718.67
W.M. Caminhas41006.88