Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection

Francisco Serdio; Ciprian Zavoianu; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Hajrudin Efendic

doi:10.1109/NaBIC.2014.6921859

Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection

Francisco Serdio
, Ciprian Zavoianu
, Edwin Lughofer
, Kurt Pichler
, Thomas Buchegger
, Hajrudin Efendic

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)
Place of Publication	Porto, Portugal
Pages	91-96
Number of pages	6
ISBN (Electronic)	9781479959372
DOIs	https://doi.org/10.1109/NaBIC.2014.6921859
Publication status	Published - 12 Oct 2014

Publication series

Name	2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014

Fields of science

101 Mathematics
101013 Mathematical logic
101024 Probability theory
102001 Artificial intelligence
102003 Image processing
102019 Machine learning
603109 Logic
202027 Mechatronics

JKU Focus areas

Computation in Informatics and Mathematics
Mechatronics and Information Processing
Nano-, Bio- and Polymer-Systems: From Structure to Function

Access to Document

10.1109/NaBIC.2014.6921859

Cite this

Serdio, F., Zavoianu, C., Lughofer, E., Pichler, K., Buchegger, T., & Efendic, H. (2014). Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. In Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC) (pp. 91-96). Article 6921859 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).. https://doi.org/10.1109/NaBIC.2014.6921859

Serdio, Francisco ; Zavoianu, Ciprian ; Lughofer, Edwin et al. / Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC). Porto, Portugal, 2014. pp. 91-96 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).

@inproceedings{d996db1a731b4bc89d3a1b165ba10140,

title = "Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection",

author = "Francisco Serdio and Ciprian Zavoianu and Edwin Lughofer and Kurt Pichler and Thomas Buchegger and Hajrudin Efendic",

year = "2014",

month = oct,

day = "12",

doi = "10.1109/NaBIC.2014.6921859",

language = "English",

series = "2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014",

pages = "91--96",

booktitle = "Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)",

}

Serdio, F, Zavoianu, C, Lughofer, E, Pichler, K, Buchegger, T & Efendic, H 2014, Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. in Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)., 6921859, 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014, Porto, Portugal, pp. 91-96. https://doi.org/10.1109/NaBIC.2014.6921859

Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. / Serdio, Francisco; Zavoianu, Ciprian; Lughofer, Edwin et al.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC). Porto, Portugal, 2014. p. 91-96 6921859 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection

AU - Serdio, Francisco

AU - Zavoianu, Ciprian

AU - Lughofer, Edwin

AU - Pichler, Kurt

AU - Buchegger, Thomas

AU - Efendic, Hajrudin

PY - 2014/10/12

Y1 - 2014/10/12

UR - https://www.scopus.com/pages/publications/84911928089

U2 - 10.1109/NaBIC.2014.6921859

DO - 10.1109/NaBIC.2014.6921859

M3 - Conference proceedings

T3 - 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014

SP - 91

EP - 96

BT - Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)

CY - Porto, Portugal

ER -

Serdio F, Zavoianu C, Lughofer E, Pichler K, Buchegger T, Efendic H. Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. In Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC). Porto, Portugal. 2014. p. 91-96. 6921859. (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014). doi: 10.1109/NaBIC.2014.6921859

Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Cite this