Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xiu-kun Wei"'
Publikováno v:
Journal of Transportation Safety & Security. 13:1047-1065
A risk monitoring method based on normal region estimation (NRE) is systematically proposed for the actual situation of the lack of fault data in the condition identification and monitoring of rail...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::952b9af5e6964c727652e5cd80e02a9e
https://doi.org/10.1080/19439962.2019.1616020
https://doi.org/10.1080/19439962.2019.1616020
Autor:
Xiu Kun Wei, Li Hua Liu
Publikováno v:
Applied Mechanics and Materials. :1266-1269
Temperature of superheated steam in power generation units is essentially important for the safe and economic running of boilers and turbines. In this paper, a robust PID control strategy based on multiple models is proposed. Robust PID controllers a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f4b77602b991c88f9afdaf0ab532d1d
https://doi.org/10.4028/www.scientific.net/amm.494-495.1266
https://doi.org/10.4028/www.scientific.net/amm.494-495.1266
Publikováno v:
Applied Mechanics and Materials. :885-889
In the observer based fault detection methods, the parameter be designed and optimized is the observer gain matrix. However, an observer cannot be optimized to achieve all the expected performances. A novel fault detection filter designed method is p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f59430c2926690ab5642d2879e0d595f
https://doi.org/10.4028/www.scientific.net/amm.494-495.885
https://doi.org/10.4028/www.scientific.net/amm.494-495.885
Publikováno v:
2016 IEEE International Conference on Mechatronics and Automation.
Condition monitoring data and reliability data were fused, and the residual life prediction method was proposed based on Proportional Hazard Model (PHM) for rolling bearings of rail vehicles. This method can provide basic data support for rail vehicl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86dcdbf3b801e3c809c995cae9dc275a
https://doi.org/10.1109/icma.2016.7558844
https://doi.org/10.1109/icma.2016.7558844