Articles

• Fuzzy logic application for fault isolation of actuators

  Michał Bartyś, Jan M. Kościelny, Paweł Rzepiejewski

  89-102

  • PDF
• Example of learning Bayesian networks from simulation data

  Marcin Bednarski

  103-110

  • PDF
• Evolutionary shape optimization in fracture problems

  Witold Beluch

  111-121

  • PDF
• Non-contact model-based diagnostics of electrical motor involving uncertainty and imprecision of model parameters

  Piotr Czop, Lucjan Miękina

  123- 132

  • PDF
• Development of a Bayesian belief network for a boiling water reactor during fault conditions

  Wiktor Frid, Michael Knochenhauer, Marcin Bednarski

  133-145

  • PDF
• Evolutionary stress minimisation on a turbine blade shank

  Witold Grela, Tadeusz Burczyński

  147-161

  • PDF
• Optimisation of composite shapes with the help of genetic algorithms

  Werner Hufenbach, Maik Gude, Lothar Kroll, Paweł Kostka, Andrzej Sokołowski

  163-173

  • PDF
• Computational grids in evolutionary optimization of structures

  Wacław Kuś

  175-182

  • PDF
• Artificial Neural Network as a numerical formof effective constitutive law for composites with parametrized and hierarchical microstructure

  Marek Lefik, Marek Wojciechowski

  183-194

  • PDF
• Structural model and reasoning in hierarchical diagnosis

  Jakub Oleksiak, Antoni Ligęza

  195-206

  • PDF
• Influence of clustering pre-processing on genetically generated fuzzy knowledge bases

  Aleksander Przybylo, Sofiane Achiche, Marek Balazinski, Luc Baron

  207-221

  • PDF
• Feature extraction using indicators of cyclostationarity for a mechanical diagnosis purpose

  Amani Raad, Jérôme Antoni, Ménad Sidahmed

  223-230

  • PDF
• Contemporary problems connected with including Standard for the Exchange of Product Model Data (ISO 10303 - STEP) in designing ontology using UML and XML

  Wojciech Skarka

  231-246

  • PDF
• Constraints based scheduling in the multi-project environment

  Bożena Skołud, Aleksandra Zientek

  247-257

  • PDF
• Prediction of concrete fatigue durability using Bayesian neural networks

  Marek Słoński

  259-265

  • PDF
• A concept of context-based inference in technical diagnostics

  Anna Timofiejczuk

  267-277

  • PDF
• Designing neural-network-based fault detection systems with D-optimum experimental conditions

  Marcin Witczak, Przemysław Prętki

  279-291

  • PDF