Combined approach for large-scale pattern recognition with translational, rotational, and scaling invariances

1991 ◽  
Author(s):  
Qing Xu ◽  
Rafael M. Inigo ◽  
Eugene S. McVey
Keyword(s):  
Pattern Recognition ◽  
Large Scale ◽  
Combined Approach

scholarly journals A Combined Approach for Model-Based PV Power Plant Failure Detection and Diagnostic

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1261
Author(s):  
Christopher Gradwohl ◽  
Vesna Dimitrievska ◽  
Federico Pittino ◽  
Wolfgang Muehleisen ◽  
András Montvay ◽  
...  
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Failure Detection ◽  
Energy Yield ◽  
Combined Approach ◽  
Levelized Cost Of Electricity ◽  
Term Operation ◽  
Model Based

Photovoltaic (PV) technology allows large-scale investments in a renewable power-generating system at a competitive levelized cost of electricity (LCOE) and with a low environmental impact. Large-scale PV installations operate in a highly competitive market environment where even small performance losses have a high impact on profit margins. Therefore, operation at maximum performance is the key for long-term profitability. This can be achieved by advanced performance monitoring and instant or gradual failure detection methodologies. We present in this paper a combined approach on model-based fault detection by means of physical and statistical models and failure diagnosis based on physics of failure. Both approaches contribute to optimized PV plant operation and maintenance based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study, underperforming values of the inverters of the PV plant were reliably detected and possible root causes were identified. Our work has led us to conclude that the combined approach can contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and can be applied to the monitoring of photovoltaic plants.

Large-scale mass spectral analysis by simplex pattern recognition

1976 ◽  
Vol 48 (12) ◽  
pp. 1768-1774 ◽  
Author(s):  
T. Fai. Lam ◽  
Charles L. Wilkins ◽  
Thomas R. Brunner ◽  
Leonard J. Soltzberg ◽  
Steven L. Kaberline
Keyword(s):  
Pattern Recognition ◽  
Spectral Analysis ◽  
Large Scale ◽  
Mass Spectral Analysis ◽  
Mass Spectral

feelabuzz

2011 ◽  
Vol 3 (2) ◽  
pp. 65-74 ◽  
Author(s):  
Christian Leichsenring ◽  
René Tünnermann ◽  
Thomas Hermann
Keyword(s):  
Pattern Recognition ◽  
Mobile Phone ◽  
Large Scale ◽  
User Study ◽  
The Other ◽  
Direct Communication ◽  
Pattern Recognition Techniques

Touch can create a feeling of intimacy and connectedness. This work proposes feelabuzz, a system to transmit movements of one mobile phone to the vibration actuator of another one. This is done in a direct, non-abstract way, without the use of pattern recognition techniques in order not to destroy the feel for the other. The tactile channel enables direct communication, i. e. what another person explicitly signals, as well as implicit context communication, the complex movements any activity consists of or even those that are produced by the environment. This paper explores the potential of this approach, presents the mapping use and discusses further possible development beyond the existing prototype to enable a large-scale user study.

Pattern recognition of cardoon oil from different large-scale field trials

2018 ◽  
Vol 118 ◽  
pp. 236-245 ◽  
Author(s):  
Suzana Ferreira-Dias ◽  
Jorge Gominho ◽  
Isabel Baptista ◽  
Helena Pereira
Keyword(s):  
Pattern Recognition ◽  
Large Scale ◽  
Field Trials ◽  
Scale Field ◽  
Large Scale Field
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