基于神经网络的制冷系统可靠性分析研究

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH) Pub Date : 2014-11-01 DOI:10.1109/CIPECH.2014.7018210

Ekata Gupta, Neelam Sharma, C. Batra

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引用次数: 3

摘要

本文用神经网络方法求解制冷系统的成本和可靠性数学模型。该系统由四个子系统组成，故障率和修复率呈指数级增长。采用神经网络方法对各可靠性参数进行了数值计算。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Neural network approach for analytical study of the reliability of refrigeration system

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.

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来源期刊

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)

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