An analysis of process fault diagnosis methods from safety perspectives
Industry 4.0 provides substantial opportunities to ensure a safer environment through online
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …
monitoring, early detection of faults, and preventing the faults to failures transitions. Decision …
A review on vehicle-trailer state and parameter estimation
AH Korayem, A Khajepour… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicle-trailer systems have various unstable modes including trailer snaking, jack-knifing,
and roll-over, which should be considered in their stability control. For stability control design …
and roll-over, which should be considered in their stability control. For stability control design …
An ellipsoidal set-membership approach to distributed joint state and sensor fault estimation of autonomous ground vehicles
This paper is concerned with the problem of distributed joint state and sensor fault
estimation for autonomous ground vehicles subject to unknown-but-bounded (UBB) external …
estimation for autonomous ground vehicles subject to unknown-but-bounded (UBB) external …
Moment-based model predictive control of autonomous systems
Great efforts have been devoted to the intelligent control of autonomous systems. Yet, most
of existing methods fail to effectively handle the uncertainty of their environment and models …
of existing methods fail to effectively handle the uncertainty of their environment and models …
An integrated design method for active fault diagnosis and control
J Wang, X Lv, Z Meng, V Puig - International Journal of Robust …, 2023 - Wiley Online Library
The injection of an auxiliary input signal for active fault diagnosis may cause the change of
system control performance in closed‐loop operation. This paper presents a novel …
system control performance in closed‐loop operation. This paper presents a novel …
A state augmentation approach to interval fault estimation for descriptor systems
This paper proposes a state augmentation approach to achieve interval fault estimation for
descriptor systems with unknown but bounded disturbances and measurement noises. An …
descriptor systems with unknown but bounded disturbances and measurement noises. An …
Fault detection for Lipschitz nonlinear systems with restricted frequency-domain specifications
This article deals with the problem of fault detection for discrete-time Lipschitz nonlinear
systems subject to a class of restricted frequency-domain specifications. We present a novel …
systems subject to a class of restricted frequency-domain specifications. We present a novel …
Moving horizon fault estimation for nonlinear stochastic systems with unknown noise covariance matrices
L Sheng, S Liu, M Gao, W Huai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, the problem of fault estimation is studied for nonlinear stochastic systems with
sensor faults. The system under investigation involves stochastic noise with unknown but …
sensor faults. The system under investigation involves stochastic noise with unknown but …
Sensor fault detection and minimum detectable fault analysis for dynamic point-the-bit rotary steerable system
In this paper, the sensor fault detection problem considering the drilling disturbances is
studied for the dynamic point-the-bit rotary steerable system. Firstly, the DPRSS is modeled …
studied for the dynamic point-the-bit rotary steerable system. Firstly, the DPRSS is modeled …
Active fault diagnosis for uncertain LPV systems: A zonotopic set-membership approach
Active fault diagnosis (AFD) techniques can improve fault diagnosis performance by
designing a set of appropriate auxiliary inputs and injecting them into the system to stimulate …
designing a set of appropriate auxiliary inputs and injecting them into the system to stimulate …