A unifying review of deep and shallow anomaly detection
Deep learning approaches to anomaly detection (AD) have recently improved the state of
the art in detection performance on complex data sets, such as large collections of images or …
the art in detection performance on complex data sets, such as large collections of images or …
Learning quadrotor dynamics for precise, safe, and agile flight control
This article reviews the state-of-the-art modeling and control techniques for aerial robots
such as quadrotor systems and presents several future research directions in this area. The …
such as quadrotor systems and presents several future research directions in this area. The …
Fault diagnosis for UAV blades using artificial neural network
G Iannace, G Ciaburro, A Trematerra - Robotics, 2019 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs) have been used in several fields
including, for example, archaeology, cargo transport, conservation, healthcare, filmmaking …
including, for example, archaeology, cargo transport, conservation, healthcare, filmmaking …
Adaptive nonlinear model-based fault diagnosis of Li-ion batteries
In this paper, an adaptive fault diagnosis technique is used in Li-ion batteries. The diagnosis
process consists of multiple nonlinear models representing signature faults, such as …
process consists of multiple nonlinear models representing signature faults, such as …
On fault detection and diagnosis in robotic systems
E Khalastchi, M Kalech - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
The use of robots in our daily lives is increasing. Different types of robots perform different
tasks that are too dangerous or too dull to be done by humans. These sophisticated …
tasks that are too dangerous or too dull to be done by humans. These sophisticated …
Recent trends and challenges in predictive maintenance of aircraft's engine and hydraulic system
Predictive maintenance (PM) strategies are based on real-time data for diagnosis of
impending failure and prognosis of machine health. It is a proactive process, which needs …
impending failure and prognosis of machine health. It is a proactive process, which needs …
Aircraft fault-tolerant trajectory control using incremental nonlinear dynamic inversion
This paper deals with aircraft trajectory control in the presence of model uncertainties and
actuator faults. Existing approaches, such as adaptive backstepping and nonlinear dynamic …
actuator faults. Existing approaches, such as adaptive backstepping and nonlinear dynamic …
[HTML][HTML] The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities
This paper aims to discuss the importance and the necessity of reasoning applications in the
field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM …
field of Aerospace Integrated Vehicle Health Management (IVHM). A fully functional IVHM …
A survey on model-based fault diagnosis for linear discrete time-varying systems
To meet the rising demands for safety and reliability of modern industrial control systems, the
model-based fault diagnosis problem has attracted much attention in the past few decades …
model-based fault diagnosis problem has attracted much attention in the past few decades …
Improved canonical correlation analysis-based fault detection methods for industrial processes
Recent research has emphasized the successful application of canonical correlation
analysis (CCA) to perform fault detection (FD) in both static and dynamic processes with …
analysis (CCA) to perform fault detection (FD) in both static and dynamic processes with …