A GM (1, 1) Markov Chain-Based Aeroengine Performance Degradation Forecast Approach Using Exhaust Gas Temperature
Performance degradation forecast technology for quantitatively assessing degradation states of aeroengine using exhaust gas temperature is an important technology in the aeroengine health management. In this paper, a GM (1, 1) Markov chain-based approach is introduced to forecast exhaust gas tempera...
Main Authors: | Ning-bo Zhao, Jia-long Yang, Shu-ying Li, Yue-wu Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/832851 |
Similar Items
-
Forecasting Service Quality Dynamics Based on Integrated Method with GM(1,1) Model and Markov Chain
by: Qingliang Meng, et al.
Published: (2018-01-01) -
Forecast of Freight Volume in Xi’an Based on Gray GM (1, 1) Model and Markov Forecasting Model
by: Fan Yang, et al.
Published: (2021-01-01) -
Multi-segmented liner optimisation for mixed exhaust aeroengines
by: Law, Thomas Robert
Published: (2008) -
Prediction of Land Use Change Based on Markov and GM(1,1) Models
by: SUN Yi-yang, et al.
Published: (2016-05-01) -
Aeroengine Robust Gain-Scheduling Control Based on Performance Degradation
by: Linfeng Gou, et al.
Published: (2020-01-01)