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Diagnosing Time-Dependent Incipient Faults

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Mathematical Modeling and Computational Intelligence in Engineering Applications

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.

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Acknowledgements

The authors acknowledge the financial support provided by the Brazilian Agencies FAPERJ, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico; CAPES, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, as well as the Ministerio de Educación Superior de Cuba (MES).

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Authors and Affiliations

  1. CEMAT, Instituto Superior Politécnico José Antonio Echeverri̧a (CUJAE), Marianao, La Habana, CP, 19390, Cuba

    Lı́dice Camps-Echevarrı́a

  2. Automatic and Computing Department, Instituto Superior Politécnico José Antonio Echeverri̧a (CUJAE), Marianao, La Habana, CP, 19390, Cuba

    Orestes Llanes-Santiago

  3. INPE, Av. dos Astronautas 1758, São José dos Campos, SP, CEP 12.227-010, Brazil

    Haroldo Fraga de Campos Velho

  4. Mechanical Engineering and Energy Department, Polytechnic Institute, IPRJ-UERJ, Rua Bonfim, No. 25, Nova Friburgo, RJ, CEP 28625-570, Brazil

    Antônio José da Silva Neto

Authors
  1. Lı́dice Camps-Echevarrı́a
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  2. Orestes Llanes-Santiago
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  3. Haroldo Fraga de Campos Velho
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  4. Antônio José da Silva Neto
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Corresponding author

Correspondence to Orestes Llanes-Santiago .

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Editors and Affiliations

  1. Universidade do Estado do Rio de Janeiro, Instituto Politécnico, Nova Friburgo, Brazil

    Antônio José da Silva Neto

  2. Dpto. de Automática y Computación, Instit. Sup. Polit. José Antonio Echeverría (CUJAE), Havana, Cuba

    Orestes Llanes Santiago

  3. Universidade Estadual Paulista - UNESP IBILCE, São José do Rio Preto, Brazil

    Geraldo Nunes Silva

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Camps-Echevarrı́a, L., Llanes-Santiago, O., de Campos Velho, H.F., da Silva Neto, A.J. (2016). Diagnosing Time-Dependent Incipient Faults. In: Silva Neto, A., Llanes Santiago, O., Silva, G. (eds) Mathematical Modeling and Computational Intelligence in Engineering Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-38869-4_4

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