Probability Boxes Theory Research Strategy in the Mechanical Equipment Healthy State Monitoring
Yi Du, Jiaman Ding, An Liu
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.113How to use a DOI?
- Probability box theory; Research Strategy; Uncertainty; Healthy State Monitoring; Condition Monitoring
- 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.
- 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 -