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
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;
Conference_Titel :
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location :
Ghaziabad
DOI :
10.1109/CIPECH.2014.7018210
