DocumentCode
236649
Title
Neural network approach for analytical study of the reliability of refrigeration system
Author
Gupta, Ekata ; Sharma, Neelam ; Batra, C.M.
Author_Institution
Appl. Sci. Dept., Krishna Inst. of Eng. & Technol., Ghaziabad, India
fYear
2014
fDate
28-29 Nov. 2014
Firstpage
511
Lastpage
514
Abstract
This paper deals with Neural network approach to obtain the cost and reliability measures of a mathematical model pertaining to refrigeration system. The system consists of four subsystem with exponential failure and repair rates. Various reliability parameters are computed with numerical calculation with neural network approach.
Keywords
maintenance engineering; mechanical engineering computing; neural nets; refrigeration; reliability; exponential failure; mathematical model; neural network approach; numerical calculation; refrigeration system reliability; reliability parameter; repair rate; Biological neural networks; Maintenance engineering; Mathematical model; Neurons; Reliability; Valves; Neural Network; Neural weights; Reliability; cost factor;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location
Ghaziabad
Type
conf
DOI
10.1109/CIPECH.2014.7018210
Filename
7018210
Link To Document