- Tytuł:
- Computational Analysis of Screening Unit of Paper Plant with Human Error Using Neural Network Approach
- Autorzy:
-
Sharma, Neelam
Gupta, Ritu
Batra, C. M.
Ekata, Ekata - Powiązania:
- https://bibliotekanauki.pl/articles/1159859.pdf
- Data publikacji:
- 2018
- Wydawca:
- Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
- Tematy:
-
Neural Network
cost factor
neural weights
non-reliability
reliability - Opis:
- Recent approach of Neural Network can be applied to solve a wide range of optimization problems. This paper deals with reliability, non-reliability and profit analysis of a paper plant. The objective of this paper is to compute profit of paper plant using neural network Algorithm and to analyze the availability of the system. The system is divided into four main subsystems. A multi-layered neural network model is used in order to optimize the maintenance of the paper plant system. The system may fail due to hardware failure with human errors and various environmental conditions. All types of failures, repairs and waiting rates are exponential. System state probabilities and other parameters are developed for the proposed model using neural network approach. Numerical examples are included to demonstrate the results.
- Źródło:
-
World Scientific News; 2018, 113; 226-237
2392-2192 - Pojawia się w:
- World Scientific News
- Dostawca treści:
- Biblioteka Nauki
Artykuł