In the present study we consider the algorithmic classification of thermodynamic properties of fluids using the fuzzy C-means (FCM) clustering methodology. The FCM is a technique that can find patters directly from the data. It is based on the minimization of an objective function that provides a measure of the dissimilarity of the data being classified in a particular group. The dissimilarity in the data is commonly formulated in terms of the Euclidean distance between the data points and the cluster centroids. This mathematical formulation and the efficient implementation are among its advantages. However, some drawbacks that lead to misclassification include the convergence to local optima, the particular form of the data, and the choice of the parameters embedded in the scheme. To assess the correct classification performance of FCM algorithm, published data of pressure, volume, and temperature are used with emphasis on the way the algorithm is affected by the natural scale of the data, and the following strategies for the classification: (1) data normalization, (2) transformation, (3) sample size used, and (4) data supply to the algorithm. The results of this assessment show that the natural scaling, and the normalization and transformation strategies are important, whereas the way the data are presented to the algorithm is not a critical factor in the classification. Also, a decrease in the number of data considered degrades the quality of the clustering. A complete consideration of the issues studied here may be helpful when a FCM classification is tried on new data.
Skip Nav Destination
ASME 2008 International Mechanical Engineering Congress and Exposition
October 31–November 6, 2008
Boston, Massachusetts, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-4871-5
PROCEEDINGS PAPER
An Assessment on the FCM Classification of Thermodynamic-Property Data
Gabriela Avila,
Gabriela Avila
Universidad Auto´noma de San Luis Potosi´, San Luis Potosi´, SLP, Me´xico
Search for other works by this author on:
Arturo Pacheco-Vega
Arturo Pacheco-Vega
California State University - Los Angeles, Los Angeles, CA
Search for other works by this author on:
Gabriela Avila
Universidad Auto´noma de San Luis Potosi´, San Luis Potosi´, SLP, Me´xico
Arturo Pacheco-Vega
California State University - Los Angeles, Los Angeles, CA
Paper No:
IMECE2008-66421, pp. 1965-1973; 9 pages
Published Online:
August 26, 2009
Citation
Avila, G, & Pacheco-Vega, A. "An Assessment on the FCM Classification of Thermodynamic-Property Data." Proceedings of the ASME 2008 International Mechanical Engineering Congress and Exposition. Volume 10: Heat Transfer, Fluid Flows, and Thermal Systems, Parts A, B, and C. Boston, Massachusetts, USA. October 31–November 6, 2008. pp. 1965-1973. ASME. https://doi.org/10.1115/IMECE2008-66421
Download citation file:
4
Views
Related Proceedings Papers
Related Articles
Advanced Geothermal Wellbore Hydraulics Model
J. Energy Resour. Technol (September,2000)
Effects of Geometry on the Performance of a Downhole Orbital Vibrator
J. Energy Resour. Technol (June,2002)
Heat Transfer to Water-Oxygen Mixtures at Supercritical Pressure
J. Heat Transfer (June,2004)
Related Chapters
Thermal Design Guide of Liquid Cooled Systems
Thermal Design of Liquid Cooled Microelectronic Equipment
Completing the Picture
Air Engines: The History, Science, and Reality of the Perfect Engine
Example Open-Book Questions
Quick Guide to the API 570 - Certified Pipework Inspector Syllabus