首页> 外文会议>IFAC symposium on system identification >FAULT DETECTION OF NON-LINEAR SYSTEMS BASED ON MULTI-FORM QUASI-ARMAX MODELING AND ITS APPLICATION TO THE SHIP BENCHMARK
【24h】

FAULT DETECTION OF NON-LINEAR SYSTEMS BASED ON MULTI-FORM QUASI-ARMAX MODELING AND ITS APPLICATION TO THE SHIP BENCHMARK

机译:基于多形态Armi-ARMAX建模的非线性系统故障检测及其在船舶基准中的应用

获取原文

摘要

This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system.
机译:本文涉及基于模型的故障检测方法对船舶推进系统的应用研究。在建模对象系统时,使用具有多模型形式的准ARMAX模型。在该模型中,通过使用非线性非参数模型(NNMS)将系统非线性结合到模型参数中。 Kullback判别信息(KDI)被引入为故障检测索引以评估所识别的模型中的失真,这是由故障引起的。通过船舶推进系统的仿真研究验证了该方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
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