Distributed fault detection and isolation approach for oil pipelines

Gustavo Pérez-Zuñiga, Javier Sotomayor-Moriano, Raul Rivas-Perez, Victor Sanchez-Zurita

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Fault detection and isolation (FDI) in oil pipeline systems (OPS) is a very critical issue because faults in these systems such as leaks or equipment malfunctions may cause significant safety accidents and economic losses. These are the challenging factors, along with the environmental regulations for developing efficient FDI approaches for OPS. This paper proposes a model-based distributed FDI approach, which uses a structural model of the system in conjunction with algorithms to generate diagnostic tests that may be implemented in local diagnosers along the OPS. The proposed approach allows detection and isolation of faults in pipeline sections (pipeline segments), pump stations, as well as process control equipment. In this way, simulation of the obtained diagnostic tests in a benchmark application shows that all faults of interest (pipeline segment faults and sensor faults) are detected and isolated.

Original languageEnglish
Article number11993
JournalApplied Sciences (Switzerland)
Issue number24
StatePublished - 1 Dec 2021


  • Diagnostic test
  • Distributed model based fault diagnosis
  • Oil pipelines
  • Structural analysis


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