.png){kind=icon}
返回
Parity space-based fault isolation using minimum error minimax probability machine
.png){kind=icon}
PRE
AI
DOI：10.1016/j.conengprac.2019.104242.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a new parity space-based fault isolation (FI) approach is proposed for linear discrete time-invariant systems. The main contribution lies in the integrated design of FI system and fault isolability properties without any assumptions on the probability distribution of unknown inputs. First, a fault isolability evaluation index is defined as the worst-case probability of correct FI in different faulty scenarios, and a new objective function is proposed for the integrated design of parity space-based residual generator, evaluation logic and fault isolability properties. Based on this, the FI problem is formulated as a bank of optimal multiclass classification problems. Next, using the technique of minimum error minimax probability machine (MEMPM), a group of feasible parity space matrices for residual generation are obtained. Furthermore, the FI method by MEMPM is presented with a desirable trade-off between the fault isolability properties in different faulty scenarios. To show the effectiveness of the proposed method, a satellite attitude control system subject to six faults is considered.
Keyword:
Parity space
Fault isolation
Minimum error minimax probability machine
Fault isolability
Classification accuracy
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.6
论文数:
5.7K
被引数:
1.1W
机构
引用论文
.png){kind=icon}
A two-stage extended kalman filter method for fault estimation of satellite attitude control systems
PREAI
分享收藏
Sliding Mode Observer-Based FTC for Markovian Jump Systems With Actuator and Sensor Faults具有执行器和传感器故障的马尔可夫跳跃系统的基于滑模观测器的FTC
PREAI
分享收藏
查看更多内容