Robert K. Paasch
Affiliations: | Oregon State University, Corvallis, OR |
Area:
Electronics and Electrical Engineering, Alternative EnergyWebsite:
https://mime.oregonstate.edu/people/paaschGoogle:
"Robert Kenneth Paasch" OR "Robert K Paasch"Bio:
Parents
Sign in to add mentor| Alice M. Agogino | grad student | 1990 | UC Berkeley | |
| (Management of Uncertainty in Sensor Based Diagnostic Expert Systems) | ||||
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Publications
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| Paasch R, Ruehl K, Hovland J, et al. (2012) Wave energy: a Pacific perspective. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 370: 481-501 |
| Rhinefrank K, Schacher A, Prudell J, et al. (2012) Comparison of direct-drive power takeoff systems for ocean wave energy applications Ieee Journal of Oceanic Engineering. 37: 35-44 |
| Meicke S, Paasch R. (2012) Seawater lubricated polymer journal bearings for use in wave energy converters Renewable Energy. 39: 463-470 |
| Lenee-Bluhm P, Paasch R, Özkan-Haller HT. (2011) Characterizing the wave energy resource of the US Pacific Northwest Renewable Energy. 36: 2106-2119 |
| Elwood D, Yim SC, Prudell J, et al. (2010) Design, construction, and ocean testing of a taut-moored dual-body wave energy converter with a linear generator power take-off Renewable Energy. 35: 348-354 |
| Henning S, Paasch R. (2010) Designing mechanical systems for optimum diagnosability Research in Engineering Design. 21: 113-122 |
| Mocko GM, Paasch R. (2005) Incorporating uncertainty in diagnostic analysis of mechanical systems Journal of Mechanical Design, Transactions of the Asme. 127: 315-325 |
| Wolbrecht E, D'ambrosio B, Paasch R, et al. (2000) Monitoring and diagnosis of a multistage manufacturing process using Bayesian networks Ai Edam Artificial Intelligence For Engineering Design, Analysis and Manufacturing. 14: 53-67 |
| Fitzpatrick M, Paasch R. (1999) Analytical Method for the Prediction of Reliability and Maintainability Based Life-Cycle Labor Costs Journal of Mechanical Design. 121: 606-613 |
| Murphy MD, Paasch R. (1997) Reliability Centered Prediction Technique for Diagnostic Modeling and Improvement. Research in Engineering Design. 9: 35-45 |