Methodology for implementing virtual sensors using neural networks

Anna Perez-Mendez; Francklin Rivas-Echeverria; Eliezer Colina-Morles; Luis Nava-Puente; Marianilca Olivares-Labrador

doi:10.1117/12.421162

21 March 2001 Methodology for implementing virtual sensors using neural networks

Anna Perez-Mendez, Francklin Rivas-Echeverria, Eliezer Colina-Morles, Luis Nava-Puente, Marianilca Olivares-Labrador

Proceedings Volume 4390, Applications and Science of Computational Intelligence IV; (2001) https://doi.org/10.1117/12.421162
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

In this work a Methodology framework for implanting Virtual Sensors using Neural Networks will be presented, including the statistical analysis techniques that can be used for studying and processing the data. The proposed Methodology is based upon Software Engineering, Knowledge-based systems and neural networks methodologies. This methodological framework includes both technical and economical feasibility to build the virtual sensors and considers important aspects as the available computational platform, historical data files, data processing requirements such as filtering, pruning, set of variables that must be selected for the best performance of the virtual sensor, etc. There are also presented the statistical consideration and the corresponding techniques for data analysis and processing. The methodology includes techniques as principal components, cluster analysis, factorial analysis, etc.

Citation Download Citation

Anna Perez-Mendez, Francklin Rivas-Echeverria, Eliezer Colina-Morles, Luis Nava-Puente, and Marianilca Olivares-Labrador "Methodology for implementing virtual sensors using neural networks", Proc. SPIE 4390, Applications and Science of Computational Intelligence IV, (21 March 2001); https://doi.org/10.1117/12.421162

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KEYWORDS

Sensors

Neural networks

Neurons

Statistical analysis

Data processing

Signal processing

Factor analysis

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