Paul M. Frank Award
The University of Duisburg-Essen has established an award in the memory of Professor Paul M. Frank who was one of the pioneers and great contributors to the fault diagnosis area.
The Paul M. Frank Award will be given at SAFEPROCESS 2015 to honor the best theoretical paper presented.
The award consists of a certificate and an amount of 1000 euros.
The oral presentation of the paper is a criterion for the Award attribution.
The Award will be announced at the closing ceremony.
Awarding committee
M. Kinnaert, D. Maquin and S. Ding
List of the nominated papers.
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Authors
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Title
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Session
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Döhler, Michael; Mevel, Laurent
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Fault Isolation and Quantification from Gaussian Residuals with Application to Structural Damage Quantification
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ThDT1.1
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Do, Phuc; Scarf, Phil; Iung, Benoît
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Condition-based maintenance for a two-component system with dependencies
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FrBT1.2
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Wan, Yiming; Keviczky, Tamas; Verhaegen, Michel
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Data-driven sensor fault estimation filter design with guaranteed stability
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FrBT2.2
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Combastel, Christophe
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Merging Kalman Filtering and ZonotopicState Bounding for Robust Fault Detection under Noisy Environment
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WeDT4.3
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ABB award - Best application/case study paper
The automation company ABB offers an award of 1000 euros and a a certificate in recognition to the prize obtained.
The oral presentation of the paper is a criterion for the Award attribution.
The Award will be announced at the closing ceremony.
Awarding committee
A. Horch, D. Maquin and S. Ding
List of the nominated papers.
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Authors
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Title
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Session
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Hartley, Edward; Maciejowski, Jan
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A longitudinal flight control law based on robust MPC and H2 methods to accommodate sensor loss in the RECONFIGURE benchmark
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FrBT2.5
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Wahrburg, Arne; Matthias, Bjoern; Ding, Hao
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Cartesian Contact Force Estimation for Robotic Manipulators - A Fault Isolation Perspective
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FrCT4.1
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Zolghadri, Ali; Cieslak, Jérôme; Efimov, Denis; Henry, David; Goupil, Philippe; Dayre, Rémy; Gheorghe, Anca; Le-Berre, Hervé
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Signal and model-based fault diagnosis for aircraft systems
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FrBT5.3
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Zhao, Lin; Peng, Tao; Zhao, Lu Xia, Peng, Zhao, Yongheng, Song, Yanpo
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Fault Condition Recognition Based on Multi-scale Texture Features and Embedding Prior Knowledge K-means for Antimony Flotation Process
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ThET3.3
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