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Proceedings Papers

Thermal Performance Evaluation of a Solar Collector Utilizing a Novel Resistance Network Model

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Arman Nokhosteen, Sarvenaz Sobhansarbandi
Proc. ASME. POWER2020, ASME 2020 Power Conference, V001T08A013, August 4–5, 2020
Publisher: American Society of Mechanical Engineers
Paper No: POWER2020-16579
https://doi.org/10.1115/POWER2020-16579
View Paper titled, Thermal Performance Evaluation of a Solar Collector Utilizing a Novel Resistance Network Model
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Topics: Network models, Performance evaluation, Principal component analysis, Solar collectors
Proceedings Papers

Prediction Model of Flow-Induced Noise in Large-Scale Centrifugal Pumps Based on BP Neural Network

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Chang Guo, Ming Gao, Peixin Dong, Yuetao Shi, Fengzhong Sun
Proc. ASME. POWER2017-ICOPE-17, Volume 2: I&C, Digital Controls, and Influence of Human Factors; Plant Construction Issues and Supply Chain Management; Plant Operations, Maintenance, Aging Management, Reliability and Performance; Renewable Energy Systems: Solar, Wind, Hydro and Geothermal; Risk Management, Safety and Cyber Security; Steam Turbine-Generators, Electric Generators, Transformers, Switchgear, and Electric BOP and Auxiliaries; Student Competition; Thermal Hydraulics and Computational Fluid Dynamics, V002T13A006, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: POWER-ICOPE2017-3280
https://doi.org/10.1115/POWER-ICOPE2017-3280
View Paper titled, Prediction Model of Flow-Induced Noise in Large-Scale Centrifugal Pumps Based on BP Neural Network
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Topics: Artificial neural networks, Centrifugal pumps, Flow (Dynamics), Noise (Sound), Algorithms, Errors, Network models, Neural network models, Pumps, Simulation
Proceedings Papers

Probabilistic Model-Based Fault Diagnosis of the Rotor System

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Jiye Shao, Rixin Wang, Jingbo Gao, Minqiang Xu
Proc. ASME. POWER2007, ASME 2007 Power Conference, 197-200, July 17–19, 2007
Publisher: American Society of Mechanical Engineers
Paper No: POWER2007-22072
https://doi.org/10.1115/POWER2007-22072
View Paper titled, Probabilistic Model-Based Fault Diagnosis of the Rotor System
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Topics: Fault diagnosis, Rotors, Machinery, Network models, Probability, Uncertainty