Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Aeroelastic instability (1)
- Aeroelasticity (1)
- Coupled-mode flutter (1)
- Dynamic systems (1)
- Experimental validation (1)
-
- Fluid-structure interaction (1)
- Genetic programming (1)
- Intent recognition (1)
- Linear classification (1)
- Machine learning (1)
- Multi-classifier fusion (1)
- Nonlinear feature exrtaction (1)
- Parametric study (1)
- Perturbation methods (1)
- Reliability analysis (1)
- Surface electromyography (1)
- Symbolic regression (1)
- System identification (1)
- Theoretical modeling (1)
- Wavelet transform (1)
- Wind energy (1)
- Wind turbine blade instability (1)
Articles 1 - 3 of 3
Full-Text Articles in Mechanical Engineering
Theoretical Modeling, Experimental Observation, And Reliability Analysis Of Flow-Induced Oscillations In Offshore Wind Turbine Blades, Pariya Pourazarm
Theoretical Modeling, Experimental Observation, And Reliability Analysis Of Flow-Induced Oscillations In Offshore Wind Turbine Blades, Pariya Pourazarm
Doctoral Dissertations
Offshore wind energy has been growing rapidly due to its capacity for utilizing much larger turbines and thus higher power generation compared to onshore. With the increasing size of offshore wind turbine rotors, the design criteria used for the blades may also evolve. Increased flexibility in blades causes them to be more susceptible to experiencing flow-induced instability. One of the destructive aero-elastic instabilities that can occur in flexible structures subjected to aerodynamic loading is coupled-mode flutter. Coupled-mode flutter instability has not been a design driver in the current wind turbine blades, however, considering the industry tendency in utilizing longer and …
Multi-Classifier Fusion Strategy For Activity And Intent Recognition Of Torso Movements, Abhijit Kadrolkar
Multi-Classifier Fusion Strategy For Activity And Intent Recognition Of Torso Movements, Abhijit Kadrolkar
Doctoral Dissertations
As assistive, wearable robotic devices are being developed to physically assist their users, it has become crucial to develop safe, reliable methods to coordinate the device with the intentions and motions of the wearer. This dissertation investigates the recognition of user intent during flexion and extension of the human torso in the sagittal plane to be used for control of an assistive exoskeleton for the human torso. A multi-sensor intent recognition approach is developed that combines information from surface electromyogram (sEMG) signals from the user’s muscles and inertial sensors mounted on the user’s body. Intent recognition is implemented by following …
Automatic Development And Adaptation Of Concise Nonlinear Models For System Identification, William G. La Cava
Automatic Development And Adaptation Of Concise Nonlinear Models For System Identification, William G. La Cava
Doctoral Dissertations
Mathematical descriptions of natural and man-made processes are the bedrock of science, used by humans to understand, estimate, predict and control the natural and built world around them. The goal of system identification is to enable the inference of mathematical descriptions of the true behavior and dynamics of processes from their measured observations. The crux of this task is the identification of the dynamic model form (topology) in addition to its parameters. Model structures must be concise to offer insight to the user about the process in question. To that end, this dissertation proposes three methods to improve the ability …