From model, signal to knowledge: A data-driven perspective of fault detection and diagnosis
X Dai, Z Gao - IEEE Transactions on Industrial Informatics, 2013 - ieeexplore.ieee.org
This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex
systems from the perspective of data processing. As a matter of fact, an FDD system is a data …
systems from the perspective of data processing. As a matter of fact, an FDD system is a data …
A new fault classification approach applied to Tennessee Eastman benchmark process
MFSV D'Angelo, RM Palhares… - Applied Soft …, 2016 - Elsevier
This study presents a data-based methodology for fault detection and isolation in dynamic
systems based on fuzzy/Bayesian approach for change point detection associated with a …
systems based on fuzzy/Bayesian approach for change point detection associated with a …
Dynamic observer-based robust control and fault detection for linear systems
This study is concerned with the design of dynamic observer-based robust controller that
also facilitates the acquisition of information used for fault detection (FD) purpose in …
also facilitates the acquisition of information used for fault detection (FD) purpose in …
Zero-assignment and complex coefficient gain design of generalized proportional-integral observer for robust fault detection
Y Hu, X Dai, D Cui, Z Jia - Journal of the Franklin Institute, 2022 - Elsevier
Aiming at early detection of faults in dynamic systems subject to external periodic
disturbances, this paper proposes a new generalized proportional-integral observer (GPIO) …
disturbances, this paper proposes a new generalized proportional-integral observer (GPIO) …
Output feedback stabilization for a class of multi-variable bilinear stochastic systems with stochastic coupling attenuation
In this technical note, stochastic coupling attenuation is investigated for a class of multi-
variable bilinear stochastic systems and a novel output feedback m-block backstepping …
variable bilinear stochastic systems and a novel output feedback m-block backstepping …
A Disturbance Decoupling Generalized Proportional–Integral Observer Design for Robust Sensor Fault Detection
X Dai, Y Hu, D Cui, T Chai - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article presents a novel disturbance decoupling generalized proportional–integral
observer (DD-GPIO) for the early detection of sensor faults in dynamic systems subject to …
observer (DD-GPIO) for the early detection of sensor faults in dynamic systems subject to …
Simultaneous fault detection and control design for switched linear systems based on dynamic observer
The problem of simultaneous fault detection and control (SFDC) for linear continuous‐time
switched systems is addressed in this paper. An H∞ formulation of the SFDC problem using …
switched systems is addressed in this paper. An H∞ formulation of the SFDC problem using …
General proportional integral observer (GPIO)-based disturbance compensation for minimum variance time synchronization
Precise time synchronization is an enabling technology for mission-critical time-sensitive
Industrial Internet of Things (IIoT). However, the crystal oscillator clock which is widely used …
Industrial Internet of Things (IIoT). However, the crystal oscillator clock which is widely used …
Distributed reference-free fault detection method for autonomous wireless sensor networks
Compact and low-cost sensors used in wireless sensor networks are vulnerable to
deterioration and failure. As the number and scale of sensor deployments grow, the failure of …
deterioration and failure. As the number and scale of sensor deployments grow, the failure of …
Robust fault estimation and fault-tolerant control for discrete-time systems subject to periodic disturbances
To enhance the reliability of digital automation systems in the Industry 4.0 era, this paper
investigates a robust fault-tolerant control scheme in the discrete-time domain subject to …
investigates a robust fault-tolerant control scheme in the discrete-time domain subject to …