Gear Fault Diagnosis Correlation Analysis Based on Probability Box Theory
An Liu, Yi Du, Wei He, Jiaman Ding
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.111How to use a DOI?
- gear fault;probability box theory;space-time registration ;information fusion; correlation;
- Measuring signal in gearbox fault diagnosis low signal-to-noise ratio, high frequency of characteristic signal and noise reduction was difficult. And general gear fault diagnosis method was hard to solve the space-time registration problem of multiple source information. So probability box theory and information fusion methods were applied in this paper, which introduced the basic development process of the probability boxes and the methods of information fusion. However, independent irrelevance of measured signal was assumed before information fusion, which was unreasonable. For this reason, classification strategy and pattern of correlation based on probability box theory was put forward. The experiment proved that correlation classification for multiple source information during gear fault diagnosis improved fusion efficiency and science, can better met the authenticity of the space-time registration problem of multiple source information. which developed a new approach to gear fault diagnosis or bear fault diagnosis research to solve the space-time registration problem of multiple source information.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - An Liu AU - Yi Du AU - Wei He AU - Jiaman Ding PY - 2014/03 DA - 2014/03 TI - Gear Fault Diagnosis Correlation Analysis Based on Probability Box Theory BT - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14) PB - Atlantis Press SP - 498 EP - 501 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.111 DO - https://doi.org/10.2991/mce-14.2014.111 ID - Liu2014/03 ER -