On-line fault detection and isolation for linear discrete-time uncertain systems

Automatica ◽  
2014 ◽  
Vol 50 (2) ◽  
pp. 513-518 ◽  
Author(s):  
Ze Zhang ◽  
Imad M. Jaimoukha
Keyword(s):  
Fault Detection ◽  
Discrete Time ◽  
Uncertain Systems ◽  
Fault Detection And Isolation ◽  
On Line

scholarly journals Aircraft Engine On-Line Diagnostics Through Dual-Channel Sensor Measurements: Development of a Baseline System

2008 ◽  
Author(s):  
Takahisa Kobayashi ◽  
Donald L. Simon
Keyword(s):  
Fault Detection ◽  
Aircraft Engine ◽  
Fault Detection And Isolation ◽  
Channel Measurements ◽  
Sensor Fault ◽  
Engine Model ◽  
Dual Channel ◽  
Sensor Fault Detection ◽  
Baseline System ◽  
On Line

In this paper, a baseline system which utilizes dual-channel sensor measurements for aircraft engine on-line diagnostics is developed. This system is composed of a linear on-board engine model (LOBEM) and fault detection and isolation (FDI) logic. The LOBEM provides the analytical third channel against which the dual-channel measurements are compared. When the discrepancy among the triplex channels exceeds a tolerance level, the FDI logic determines the cause of the discrepancy. Through this approach, the baseline system achieves the following objectives: 1) anomaly detection, 2) component fault detection, and 3) sensor fault detection and isolation. The performance of the baseline system is evaluated in a simulation environment using faults in sensors and components.

Small Fault Detection of Discrete-Time Nonlinear Uncertain Systems

2019 ◽  
pp. 1-15 ◽  
Author(s):  
Jingting Zhang ◽  
Chengzhi Yuan ◽  
Paolo Stegagno ◽  
Haibo He ◽  
Cong Wang
Keyword(s):  
Fault Detection ◽  
Discrete Time ◽  
Uncertain Systems ◽  
Small Fault ◽  
Nonlinear Uncertain Systems
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