辽宁石油化工大学学报

辽宁石油化工大学学报

• 机械工程 • 上一篇    下一篇

旋转机械转子系统风险云模型评估

刘畅高鹏冯今昭   

  1. (辽宁石油化工大学 机械工程学院,辽宁 抚顺 113001)
  • 收稿日期:2018-08-22 修回日期:2019-02-25 出版日期:2019-10-31 发布日期:2019-10-30
  • 通讯作者: 高鹏(1982⁃),男,博士,教授,从事机械可靠性、机械动力学方面的研究;E⁃mail:gaogaopeng@163.com
  • 作者简介:刘畅(1988-),女,硕士研究生,从事安全科学与工程、机械可靠性方面的研究;E-mail:15242309665@163.com
  • 基金资助:
    国家自然科学基金项目(51505207、U1708255);辽宁省高等学校创新人才支持计划项目(LR2017070);辽宁省教育厅科学研究经费项目(L2019019)

Risk Cloud Model Evaluation of Rotating Machinery Rotor System

Liu ChangGao PengFeng Jinzhao   

  1. (College of Mechanical Engineering,Liaoning Shihua University,Fushun Liaoning 113001,China)
  • Received:2018-08-22 Revised:2019-02-25 Online:2019-10-31 Published:2019-10-30

摘要: 为了保证旋转机械长期安全、稳定、高效运行,针对其实际的转子系统相关风险状况,提出旋转机械转子系统风险云模型评估方法。首先利用FMECA(故障模式、影响及危害性分析)总结了旋转机械转子系统失效模式,发现其可靠性存在的缺陷和薄弱环节,辨识导致转子系统故障的主要失效模式,然后根据应力⁃强度干涉模型构建单一失效模式下转子系统云模型的期望、熵和超熵三个数字特征,使其与结合云模型的模糊性、随机性相结合,得到转子系统风险云模型评估的定性及定量结果。将其应用到汽轮机转子系统中,采用MATLAB仿真对转子系统进行综合评估并以云滴形式直观地展现。

关键词: 转子系统, 失效模式, 应力?强度干涉模型, 云模型, 风险评估

Abstract: In order to ensure the long⁃term safe, stable and efficient operation of the rotating machinery, a risk cloud model evaluation method for the rotating machinery rotor system is proposed for the actual risk status of the rotor system. The evaluation method firstly uses FMECA to summarize the failure mode of the rotating machinery rotor system, finds the defects and weak links of its reliability, and identifies the main failure modes that cause the rotor system to fail. Then, based on the stress⁃strength interference model, the three digital characteristics of the rotor system cloud model in the single failure mode are constructed, which combines with the fuzzy and randomness of the cloud model to obtain the risk cloud model evaluation of the rotor system. Qualitative and quantitative results.It is applied to the turbine rotor system, and the rotor system is comprehensively evaluated by MATLAB simulation and visually presented in the form of cloud droplets.

Key words: Rotor system, Failure mode, Stress?intensity interference model, Cloud model, Risk evaluation