Paper Title:
Study on Non Energy Saving Status Detection of Groundwater Heat Pump System Using Artificial Neural Network Method
  Abstract

Presents two types of characteristic data: basic characteristic parameters and index characteristic parameters for non energy saving status detection (NESSD) of groundwater heat pump (GWHP) system, establishes the relationship database between characteristic data and fault factors of NESSD. For three kinds of improving back propagation (BP) algorithms: Variable Learning Rate (VLR) BP algorithm, Scaled Conjugate Gradient (SCG) BP algorithm, and Levenberg-Marquardt (LM) BP algorithm, these various algorithms’ comparative study had been conducted on the GWHP system’s NESSD. The optimal algorithm among them is determined and the GWHP system’s NESSD as cases studies can be carried out based on the most suitable BP algorithm.

  Info
Periodical
Advanced Materials Research (Volumes 443-444)
Chapter
Chapter 1: Advances in Manufacturing Engineering Techniques and Materials Science
Edited by
Li Jian
Pages
325-332
DOI
10.4028/www.scientific.net/AMR.443-444.325
Citation
Z. W. Wang, Y. Peng, Z. H. Zhang, W. Cao, P. Li, "Study on Non Energy Saving Status Detection of Groundwater Heat Pump System Using Artificial Neural Network Method", Advanced Materials Research, Vols. 443-444, pp. 325-332, 2012
Online since
January 2012
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Price
$32.00
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