This paper proposes a novel data-driven technique, namely Online Learning for sensor
Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars …

In smart industrial systems, in many cases, a fault can be captured as an event to represent
the distinct nature of subsequent changes. Event-based fault diagnosis techniques are …

Accurate sensing is essential for achieving reliable control of unmanned aerial vehicles
(UAVs). In prior works, the unscented Kalman filter (UKF) has shown superior performance …

A new technique is presented for diagnosing faults in a Discrete Event System (DES) when
the state of the system under diagnosis (SUD) is uncertain upon commencement of the …

Physical test and evaluation (T&E) of autonomous systems in actual settings is resource
intensive and time exhaustive. Simulation-based testing, however, can reduce the testing …

Brake systems represent one of the most critical components contributing to the safety of
modern automotive systems. They are commonly referenced as one of the most vehicle …

The aircraft engine serves as the core system of an aircraft and operates under extreme
conditions, requiring high reliability and absolute safety. The design, manufacturing, and …

Aileron faults must be detected and identified quickly to improve the fixed-wing aircraft's
safety and reliability. However, the low-frequency monitoring signals of the heterogeneous …

在磁干扰环境中, 磁传感器解算的飞行器偏航角会出现偏差. 针对磁干扰导致的估计误差问题,
面向模型不确定性飞行器系统, 提出了基于非线性扩张状态观测器的磁传感器偏航角诊断滤波 …

In practice, it is often infeasible to initialize the diagnoser and the system under diagnosis
synchronously. Moreover, many real-world systems tend to be uncertain and imprecise. In …