Andrew Kusiak focuses on Data mining, Wind power, Turbine, Wind speed and Systems engineering. His Data mining research includes themes of Support vector machine, Decision rule and Artificial intelligence. Andrew Kusiak has included themes like Control engineering, Range, SCADA, Condition monitoring and Evolution strategy in his Turbine study.
His research investigates the connection between Evolution strategy and topics such as Algorithm that intersect with problems in Group technology, Mathematical optimization, Bottleneck and Similitude. The various areas that Andrew Kusiak examines in his Wind speed study include Marine engineering, Simulation, Control theory and Time series. His Systems engineering research integrates issues from Product engineering, New product development and Engineering design process.
Andrew Kusiak mainly focuses on Data mining, Mathematical optimization, Systems engineering, Wind power and Manufacturing engineering. The study incorporates disciplines such as Predictive modelling and Support vector machine, Selection, Artificial intelligence in addition to Data mining. His Mathematical optimization research is multidisciplinary, relying on both Energy consumption, Algorithm and Cluster analysis.
Andrew Kusiak combines subjects such as Concurrent engineering, New product development and Engineering design process with his study of Systems engineering. He works mostly in the field of Wind power, limiting it down to topics relating to Turbine and, in certain cases, Control engineering and Vibration, as a part of the same area of interest. His Manufacturing engineering research focuses on Scheduling and how it connects with Industrial engineering, Job shop scheduling and Flow shop scheduling.
His scientific interests lie mostly in Wind power, Turbine, Artificial neural network, Wind speed and Energy consumption. He interconnects Electricity generation, Mathematical optimization, Data mining and Evolution strategy in the investigation of issues within Wind power. His research integrates issues of Support vector machine, Cluster analysis and Artificial intelligence in his study of Data mining.
His Turbine study combines topics in areas such as SCADA, Control theory, Vibration, Control engineering and Predictive modelling. His studies examine the connections between Control engineering and genetics, as well as such issues in Condition monitoring, with regards to Reliability engineering. The concepts of his Artificial neural network study are interwoven with issues in Data-driven, Simulation, Soil science and Sewage treatment.
His main research concerns Turbine, Wind power, Control engineering, Wind speed and Energy consumption. His Turbine research is multidisciplinary, incorporating elements of SCADA, Control theory, Condition monitoring, Vibration and Evolution strategy. His biological study spans a wide range of topics, including Maintenance engineering, Data mining and Blade pitch.
His studies in Data mining integrate themes in fields like Predictive modelling and Support vector machine. His Wind speed study integrates concerns from other disciplines, such as Marine engineering and Time series. His Energy consumption research is multidisciplinary, incorporating perspectives in Artificial neural network, Algorithm, Particle swarm optimization and HVAC, Air conditioning.
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The facility layout problem
Andrew Kusiak;Sunderesh S. Heragu.
European Journal of Operational Research (1987)
The generalized group technology concept
International Journal of Production Research (1987)
Intelligent Manufacturing Systems
Andrew Kusiak;David Dornfeld.
Data Mining in Manufacturing: A Review
J. A. Harding;M. Shahbaz;Srinivas;A. Kusiak.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2006)
Efficient solving of the group technology problem
Andrew Kusiak;Wing S. Chow.
Journal of Manufacturing Systems (1987)
Modularity in design of products and systems
Chun-Che Huang;A. Kusiak.
systems man and cybernetics (1998)
Data-driven smart manufacturing
Fei Tao;Qinglin Qi;Ang Liu;Andrew Kusiak.
Journal of Manufacturing Systems (2018)
Design of wind farm layout for maximum wind energy capture
Andrew Kusiak;Zhe Song.
Renewable Energy (2010)
Machine Layout Problem in Flexible Manufacturing Systems
Sunderesh S. Heragu;Andrew Kusiak.
Operations Research (1988)
The prediction and diagnosis of wind turbine faults
Andrew Kusiak;Wenyan Li.
Renewable Energy (2011)
Profile was last updated on December 6th, 2021.
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