Energy Consumption Analysis of Discrete Manufacturing Based on Improved Principal Component Analysis Method

Authors

Chen Yan, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Wang Yan, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: Due to the complexity of energy consumption of the discrete manufacturing system and the interaction between energy consumption indexes, the result of energy consumption analysis is hard to obtain, establishing energy efficiency evaluation index of discrete system, based on the three levels of energy consumption of products, equipment energy efficiency, the energy efficiency of task process. Furthermore, a method was proposed to analyze the discrete manufacturing process energy consumption based on improved principal component analysis method. The method introduced importance weights, overcame the shortcoming of traditional component analysis, which only emphasized the information weights, combined the subjective and objective of indexes which integrate, adopted the improved normalization during the data nondimensionalization to avoid the loss of original data information and considered every factors of energy consumption analysis of discrete manufacturing. Case analysis and simulation show that the improved method is more reasonable and stable.

Recommended Citation

Yan, Chen and Yan, Wang (2020) "Energy Consumption Analysis of Discrete Manufacturing Based on Improved Principal Component Analysis Method," Journal of System Simulation: Vol. 28: Iss. 12, Article 30.
DOI: 10.16182/j.issn1004731x.joss.201612030
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss12/30

First Page

3087

Revised Date

2016-07-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201612030

Last Page

3094

CLC

TP278

Recommended Citation

Chen Yan, Wang Yan. Energy Consumption Analysis of Discrete Manufacturing Based on Improved Principal Component Analysis Method[J]. Journal of System Simulation, 2016, 28(12): 3087-3094.

DOI

10.16182/j.issn1004731x.joss.201612030