Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

The Evaluation of Storage Life when Disordered Data Appear in Accelerated Performance Degradation Tests

Authors
X.S. Li
Corresponding Author
X.S. Li
Available Online July 2015.
DOI
10.2991/eame-15.2015.160How to use a DOI?
Keywords
disordered data; storage life; isotonic regression; mechanism consistency
Abstract

Motivated by the fact that disordered data may appear in accelerated performance degradation tests when the sample is small, a new storage life evaluation method is proposed to mining information from the existing data. Combining the knowledge that the mean value of the performance parameter will degrade, isotonic regression are used to order the data. Meanwhile, the variance of the parameter is revised by mechanism consistency boundary. Finally, with the ordered data, linear degradation model and accelerated model are used to evaluate the storage life. The prediction method is applied to a battery’s data which contains disordered data from accelerated performance degradation tests as example and works well.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/eame-15.2015.160
ISSN
2352-5401
DOI
10.2991/eame-15.2015.160How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - X.S. Li
PY  - 2015/07
DA  - 2015/07
TI  - The Evaluation of Storage Life when Disordered Data Appear in Accelerated Performance Degradation Tests
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 573
EP  - 575
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.160
DO  - 10.2991/eame-15.2015.160
ID  - Li2015/07
ER  -