Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Probability Boxes Theory Research Strategy in the Mechanical Equipment Healthy State Monitoring

Authors
Yi Du, Jiaman Ding, An Liu
Corresponding Author
Yi Du
Available Online March 2014.
DOI
https://doi.org/10.2991/mce-14.2014.113How to use a DOI?
Keywords
Probability box theory; Research Strategy; Uncertainty; Healthy State Monitoring; Condition Monitoring
Abstract
Known the health state of each mechanical part in advance is particularly important in mechanical equipment conditional monitoring. However, it is one of the most difficulties to be solved in mechanical equipment conditional monitoring. A new probability boxes theory research Strategy for the mechanical equipment healthy state monitoring was proposed to solve the above problem. Firstly, the probability box theory was introduced and the basic concepts and the relationship of probability box and Dampster Shafer structure were contracted. The feasibility was discussed then. Secondly, the relationship of probability box’s compactness and data uncertainty was verified by a uncertainty Variables which obeyed by the exponential distribution. Finally, the probability box research strategy was proposed in details with a simulation rotating machinery fault test bed. The corresponding sensors were layout on the reasonable positions to monitor the various mechanical parts; the experimental data was Obtain by the corresponding sensor for the monitored objects. Different data of health state and fault state was obtained; the specification of probability box heath index was established. The results show that the strategy may be a promising healthy state monitoring method for Mechanical Equipment.
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Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.113How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yi Du
AU  - Jiaman Ding
AU  - An Liu
PY  - 2014/03
DA  - 2014/03
TI  - Probability Boxes Theory Research Strategy in the Mechanical Equipment Healthy State Monitoring
BT  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 506
EP  - 509
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.113
DO  - https://doi.org/10.2991/mce-14.2014.113
ID  - Du2014/03
ER  -