• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability engineering & system safety >Gas path deterioration observation based on stochastic dynamics for reliability assessment of aeroengines
【24h】

Gas path deterioration observation based on stochastic dynamics for reliability assessment of aeroengines

机译：Gas path deterioration observation based on stochastic dynamics for reliability assessment of aeroengines

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相关主题

摘要

? 2023Gas path deterioration seriously reduces the reliability of aeroengine systems. Accurate observation of gas path deterioration parameters is the key to ensuring the reliable operation and safety control of aeroengines. It is a significant challenge to accurately observe the deterioration state under multi-source uncertainties. This work provides a novel assessment technique to accurately master the gas path deterioration from the perspective of stochastic dynamics for the first time, in contrast to the previous assessment schemes based on the aerothermodynamics model and filtering theory. Based on the state parameters and stochastic optimal inputs, a full-dimensional performance observation equation is created. The construction of the stochastic optimal inputs ensures the tracking of the gas path deteriorating state through the negative feedback of state parameters and the rectification of measurement data. The observation principle and algorithm are also thoroughly presented. Three common deterioration modes serve as proof of the proposed method's effectiveness. The evaluation accuracy is increased by at least 22.75% when compared to the conventional method, and the maximum improvement rate reaches 52.45%. The proposed method is free from multi-source uncertainty interference and has higher accuracy and robustness. It offers a fresh approach to master gas path deterioration and ensures safe and reliable operation.

著录项

获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号