1-3 of 3
Principal component analysis
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

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

Available to Purchase

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
Open the PDF for Thermal Performance Evaluation of a Solar Collector Utilizing a Novel Resistance Network Model in another window
Topics: Network models, Performance evaluation, Principal component analysis, Solar collectors
Proceedings Papers

Data Segmentation Criteria Assessment for Fault Detection Techniques Based on Principal Component Analysis for Natural Gas Transmission System

Available to Purchase

Cinthia Audivet, Horacio Pinzón, Jesus García, Marlon Consuegra, Javier Alexander, Marco Sanjuán
Proc. ASME. POWER2018, Volume 2: Heat Exchanger Technologies; Plant Performance; Thermal Hydraulics and Computational Fluid Dynamics; Water Management for Power Systems; Student Competition, V002T09A011, June 24–28, 2018
Publisher: American Society of Mechanical Engineers
Paper No: POWER2018-7479
https://doi.org/10.1115/POWER2018-7479
View Paper titled, Data Segmentation Criteria Assessment for Fault Detection Techniques Based on Principal Component Analysis for Natural Gas Transmission System
Open the PDF for Data Segmentation Criteria Assessment for Fault Detection Techniques Based on Principal Component Analysis for Natural Gas Transmission System in another window
Topics: Flaw detection, Image segmentation, Natural gas, Principal component analysis, Natural gas distribution, Noise (Sound), Separation (Technology)
Proceedings Papers

A Novel Online Structure Damage Identification Using Principal Component Analysis (PCA)

Available to Purchase

Soonyoung Hong, M.-H. Herman Shen
Proc. ASME. POWER2007, ASME 2007 Power Conference, 367-374, July 17–19, 2007
Publisher: American Society of Mechanical Engineers
Paper No: POWER2007-22198
https://doi.org/10.1115/POWER2007-22198
View Paper titled, A Novel Online Structure Damage Identification Using Principal Component Analysis (PCA)
Open the PDF for A Novel Online Structure Damage Identification Using Principal Component Analysis (PCA) in another window
Topics: Damage, Principal component analysis, Artificial neural networks, Mode shapes