West Texas A&M University - Engineering
Post-Doctoral Research Associate
Fisseha worked at Texas Tech University as a Post-Doctoral Research Associate
Ph.D. Candidate, Mechanical Engineering
I defended my PhD dissertation entitled “Probabilistic Multibody Dynamic Modeling of Gear Systems for Wind Turbines” on May 31, 2013 and has graduated on August 10, 2013. Failure of gearboxes of wind turbines happens in the early years of operation, causes the highest down time and hampers the reliability of wind energy. My research focuses on improving the reliability of wind turbine gearbox by improving the current design practice in such a way that the process accounts for uncertainties in wind loading, assembly process and design parameters. A novel Probabilistic Multibody Dynamic Analysis (PMBDA) framework is developed and implemented to analyze the probability of failure or reliability of wind turbine gearbox components and probabilistic sensitivity to system loading, assembly and design parameters. The results will help on predicting the life and identifying critical parameters that could influence system reliability most. The research implemented TurbSim, FAST, MSC ADAMS (multibody dynamics software), NESSUS (probabilistic analysis software developed by SwRI) and Matlab code for interfacing. A paper on the validation and verification of PMBDA is published on Journal of Mechanical Design, ASME Transaction, volume 135, issue 8.
Graduate Part-time Teaching Instructor, TA, RA
Fisseha worked at Texas Tech University as a Graduate Part-time Teaching Instructor, TA, RA
Assistant Professor
Fisseha worked at West Texas A&M University as a Assistant Professor
Assistant Professor
Fisseha worked at Penn State University as a Assistant Professor
General Manager
Fisseha worked at EM Tech P.L.C as a General Manager
Assistant Professor of Mechanical Engineering
Fisseha worked at Mekelle University as a Assistant Professor of Mechanical Engineering
PhD
Mechanical Engineering
Post-Doctoral Research Associate
Ph.D. Candidate, Mechanical Engineering
I defended my PhD dissertation entitled “Probabilistic Multibody Dynamic Modeling of Gear Systems for Wind Turbines” on May 31, 2013 and has graduated on August 10, 2013. Failure of gearboxes of wind turbines happens in the early years of operation, causes the highest down time and hampers the reliability of wind energy. My research focuses on improving the reliability of wind turbine gearbox by improving the current design practice in such a way that the process accounts for uncertainties in wind loading, assembly process and design parameters. A novel Probabilistic Multibody Dynamic Analysis (PMBDA) framework is developed and implemented to analyze the probability of failure or reliability of wind turbine gearbox components and probabilistic sensitivity to system loading, assembly and design parameters. The results will help on predicting the life and identifying critical parameters that could influence system reliability most. The research implemented TurbSim, FAST, MSC ADAMS (multibody dynamics software), NESSUS (probabilistic analysis software developed by SwRI) and Matlab code for interfacing. A paper on the validation and verification of PMBDA is published on Journal of Mechanical Design, ASME Transaction, volume 135, issue 8.
Graduate Part-time Teaching Instructor, TA, RA
Bachelor of Science (BSc)
Mechanical Engineering
Master of Science (MSc)
Mechanical and Transportation Engineering