Multi-objective Complexity Reduction for Set-based Fault Diagnosis

Savchenko, Anton; Andonov, Petar; Rumschinski, Philipp; Findeisen, Rolf

doi:10.1109/ADCONIP.2017.7983846

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Multi-objective Complexity Reduction for Set-based Fault Diagnosis

Savchenko, A., Andonov, P., Rumschinski, P., & Findeisen, R. (2017). Multi-objective Complexity Reduction for Set-based Fault Diagnosis. In 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) (pp. 589-594).

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-EDFC-A Version Permalink: https://hdl.handle.net/21.11116/0000-0000-EDFD-9

Genre: Conference Paper

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Creators:
Savchenko, Anton¹, Author
Andonov, Petar^{1, 2}, Author
Rumschinski, Philipp¹, Author
Findeisen, Rolf¹, Author

Affiliations:
1Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143

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Language(s): eng - English

Dates: Date issued: 2017

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1109/ADCONIP.2017.7983846

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Title: 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)

Place of Event: Taipei, Taiwan

Start-/End Date: 2017-05-28 - 2017-05-31

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Title: 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)

Source Genre: Proceedings

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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 589 - 594 Identifier: -