A review on fault detection and process diagnostics in industrial processes
The main roles of fault detection and diagnosis (FDD) for industrial processes are to make
an effective indicator which can identify faulty status of a process and then to take a proper …
an effective indicator which can identify faulty status of a process and then to take a proper …
Recent advances in sensor fault diagnosis: A review
As an essential component of data acquisition systems, sensors have been widely used,
especially in industrial and agricultural sectors. However, sensors are also prone to faults …
especially in industrial and agricultural sectors. However, sensors are also prone to faults …
Nonlinear and adaptive intelligent control techniques for quadrotor uav–a survey
H Mo, G Farid - Asian Journal of Control, 2019 - Wiley Online Library
Parametric uncertainties and coupled nonlinear dynamics are inherent in quadrotor
configuration and infer adaptive nonlinear approaches to be used for flight control system …
configuration and infer adaptive nonlinear approaches to be used for flight control system …
Neural adaptive observer-based sensor and actuator fault detection in nonlinear systems: Application in UAV
A new online detection strategy is developed to detect faults in sensors and actuators of
unmanned aerial vehicle (UAV) systems. In this design, the weighting parameters of the …
unmanned aerial vehicle (UAV) systems. In this design, the weighting parameters of the …
Sliding mode observer based fault identification in automatic vision system of robot
It is analyzed the possibility to apply sliding mode observers for fault identification and
consecutively the improvement of Technical Vision System (TVS) functioning in the tasks of …
consecutively the improvement of Technical Vision System (TVS) functioning in the tasks of …
Advances in intelligent and autonomous navigation systems for small UAS
A significant growth in Unmanned Aircraft System (UAS) operations has been observed over
the past decade, largely driven by the emergence of new commercial opportunities and use …
the past decade, largely driven by the emergence of new commercial opportunities and use …
Detection of fault data injection attack on uav using adaptive neural network
A resilient and secure control system should be designed to be as safe and robust as
possible in face of different types of attacks such as fault data injection (FDI) attacks; thus …
possible in face of different types of attacks such as fault data injection (FDI) attacks; thus …
Intelligent fault diagnosis for chemical processes using deep learning multimodel fusion
Deep learning technology has been widely used in fault diagnosis for chemical processes.
However, most deep learning technologies currently adopted only use a single network …
However, most deep learning technologies currently adopted only use a single network …
Unsupervised fault detection on unmanned aerial vehicles: Encoding and thresholding approach
Unmanned Aerial Vehicles are expected to create enormous benefits to society, but there
are safety concerns in recognizing faults at the vehicle's control component. Prior studies …
are safety concerns in recognizing faults at the vehicle's control component. Prior studies …
LPV model-based tracking control and robust sensor fault diagnosis for a quadrotor UAV
This work is dedicated to the design of a robust fault detection and tracking controller system
for a UAV subject to external disturbances. First, a quadrotor modelled as a Linear …
for a UAV subject to external disturbances. First, a quadrotor modelled as a Linear …