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Modeling of Complex Life Cycle Prediction Based on Cell Division
Joint Authors
Zhang, Fucheng
Wang, Yahui
Zhang, De
Source
Journal of Control Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Effective fault diagnosis and reasonable life expectancy are of great significance and practical engineering value for the safety, reliability, and maintenance cost of equipment and working environment.
At present, the life prediction methods of the equipment are equipment life prediction based on condition monitoring, combined forecasting model, and driven data.
Most of them need to be based on a large amount of data to achieve the problem.
For this issue, we propose learning from the mechanism of cell division in the organism.
We have established a moderate complexity of life prediction model across studying the complex multifactor correlation life model.
In this paper, we model the life prediction of cell division.
Experiments show that our model can effectively simulate the state of cell division.
Through the model of reference, we will use it for the equipment of the complex life prediction.
American Psychological Association (APA)
Zhang, Fucheng& Wang, Yahui& Zhang, De. 2017. Modeling of Complex Life Cycle Prediction Based on Cell Division. Journal of Control Science and Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173524
Modern Language Association (MLA)
Zhang, Fucheng…[et al.]. Modeling of Complex Life Cycle Prediction Based on Cell Division. Journal of Control Science and Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1173524
American Medical Association (AMA)
Zhang, Fucheng& Wang, Yahui& Zhang, De. Modeling of Complex Life Cycle Prediction Based on Cell Division. Journal of Control Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173524
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173524