Fault Diagnosis for Sensors of Aero-engine Based on Improved Least Squares Support Vector Regression

摘要：

In this paper, an intelligent online sensor faults diagnosis system of aero-engine is designed based on improved least squares support vector machine. In order to distinguish sensor offset fault and drift fault, the method, called threshold discriminance, is adopted. For common sensor faults, including the single or multiple sensor offset faults and drift faults, the sensor faults diagnosis system is able to accomplish the fault detection, isolation and signal reconstruction well. And the simulation experiments of aero-engine sensor faults show the effectiveness and validity of the proposed system.

关键词： aero-engine sensor fault diagnosis improved least squares support vector regression one or two-sensor faults

作者: Duan Shujing Li Qiuhong Zhao Yongping

作者单位: College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics Nanjing 2 College ofEnergy and Power Engineering Nanjing University of Aeronautics and Astronautics Nanjing 21 ZNDY of Ministerial Key Laboratory Nanjing University of Science and Technology Nanjing 210094, P.R.

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 2013-2017

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）