Name
Title | ||
|---|---|---|
Fault Prediction of High-speed Train Running Gears Based On Hidden Markov Model and Analytic Hierarchy Process |
Abstract | ||
|---|---|---|
The stable operation of the high-speed train running gear is one of the key components to ensure the safety and reliability of high-speed trains. This paper proposes a research method based on the hidden Markov model and analytic hierarchy process (HMM-AHP) high-speed train running gear fault prediction. The multi-observation sequence is used to make the hidden Markov model more accurately model the system under study to describe the internal and external characteristics of the system. In order to ensure the more accurate and reliable results of the fusion of multi-observation sequence data, the analytic hierarchy process method is used to reasonably assign the feature weighting factor to predict the online fault of the high-speed train running gear, and form an online fault diagnosis framework based on HMM-AHP model. At last, this paper takes the high-speed train running gear as the research object. The proposed HMM-AHP model is used to simulate the high-speed of trains running gear, and the validity and accuracy of the model are verified. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/SAFEPROCESS45799.2019.9213355 | 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) |
Keywords | DocType | ISBN |
Fault prediction,The running gear,Hidden Markov model,Analytic hierarchy process | Conference | 978-1-7281-0681-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao Cheng | 1 | 0 | 1.69 |
| Xinyu Qiao | 2 | 1 | 1.71 |
| Caixin Fu | 3 | 0 | 0.34 |
| Weijun Wang | 4 | 0 | 0.34 |
| Xiaojing Yin | 5 | 0 | 0.34 |