CAJ | 학술논문

为了解决导航系统中小幅值突变故障难以检测的问题，提出了一种基于AR模型参数的故障检测算法。该方法利用AR模型参数变化来进行实时故障检测。文中通过仿真实验，完成了对该算法性能的分析验证。结果表明，该算法能够有效的进行故障诊断，不仅对大的突变故障具有良好的检测效果，对小幅值突变故障也有较好的检测效果。
위료해결도항계통중소폭치돌변고장난이검측적문제，제출료일충기우AR모형삼수적고장검측산법。해방법이용AR모형삼수변화래진행실시고장검측。문중통과방진실험，완성료대해산법성능적분석험증。결과표명，해산법능구유효적진행고장진단，불부대대적돌변고장구유량호적검측효과，대소폭치돌변고장야유교호적검측효과。
In order to solve the navigation system failure is difficult to detect small amplitude mutation problem, we propose a model based on AR Parameter fault detection algorithms. The method uses the AR model parameters for real-time fault detection. Text through simulation experiments completed analysis of the performance of the algorithm validation. The results show that the algorithm can effectively carry out fault diagnosis, not only for large mutations detected fault has a good effect on the value of mutations fault has slightly better detection results.