Diagnosing Time-Dependent Incipient Faults

Lı́dice Camps-Echevarrı́a (), Orestes Llanes-Santiago (), Haroldo Fraga de Campos Velho () and Antônio José da Silva Neto ()
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Lı́dice Camps-Echevarrı́a: Instituto Superior Politécnico José Antonio Echeverri̧a (CUJAE), CEMAT
Orestes Llanes-Santiago: Instituto Superior Politécnico José Antonio Echeverri̧a (CUJAE), Automatic and Computing Department
Haroldo Fraga de Campos Velho: INPE
Antônio José da Silva Neto: Polytechnic Institute, IPRJ-UERJ, Mechanical Engineering and Energy Department

Chapter Chapter 4 in Mathematical Modeling and Computational Intelligence in Engineering Applications, 2016, pp 47-62 from Springer

Abstract: Abstract This chapter focuses on a formulation for fault diagnosis (FDI) using an inverse problem methodology. It has been shown that this approach allows for diagnoses with adequate balance between robustness and sensitivity. The main contribution of this chapter is the expansion of this approach to include the diagnosis of time-dependent incipient faults. The FDI inverse problem is formulated as an optimization problem that is then solved with two metaheuristics: Differential Evolution and its variation Differential Evolution with Particle Collision. The proposed methodology is tested using simulated data from the Two Tanks system, which is recognized as benchmark for control and diagnosis. The results indicate that this proposal is suitable for the aforementioned diagnosis.

Keywords: Model based fault diagnosis; Incipient faults; Inverse problems; Differential Evolution algorithm; Particle Collision Algorithm; Robustness; Sensitivity (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-38869-4_4

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