Paper Info
Title
Correlation between use time of machine and decline curve for emerging enterprise information systems.
Abstract
With the progress of science and technology, more and more machines are adpot to help human life better and more convenient. When the machines have been used for a longer period of time so that the machine components are getting old, the amount of power comsumption will increase and easily cause the machine to overheat. This also causes a waste of invisible resources. If the Internet of Everything (IoE) technologies are able to be applied into the enterprise information systems for monitoring the machines use time, it can not only make energy can be effectively used, but aslo create a safer living environment. To solve the above problem, the correlation predict model is established to collect the data of power consumption converted into power eigenvalues. This study takes the power eigenvalue as the independent variable and use time as the dependent variable in order to establish the decline curve. Ultimately, the scoring and estimation modules are employed to seek the best power eigenvalue as the independent variable. To predict use time, the correlation is discussed between the use time and the decline curve to improve the entire behavioural analysis of the facilitate recognition of the use time of machines.
Year
DOI
Venue
2018
10.1080/17517575.2017.1301558
ENTERPRISE INFORMATION SYSTEMS
Field
DocType
Volume
Data mining,Industrial engineering,Computer science,SAFER,Operations research,Enterprise information system,Correlation,Variables,The Internet,Power consumption
Journal
12.0
Issue
ISSN
Citations 
SP4
1751-7575
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Chang, Y.-C.144.10
Chin-Feng Lai297374.85
Chi-Cheng Chuang300.68
Cheng-Yu Hou400.34