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Fault diagnosis and fault tolerant control methods for manned and unmanned helicopters: A literature review

Xin Qi, Didier Theilliol, Juntong Qi, Youmin Zhang, Jianda Han, Dalei Song, Ling Wang, Yong Xia
2013 2013 Conference on Control and Fault-Tolerant Systems (SysTol)  
In order to deal with these problems, fault diagnosis and fault tolerant control methods were used for manned or unmanned helicopter platforms.  ...  This paper presents an overview of the existing works on fault diagnosis, including analytical/model-based, signal processingbased and knowledge-based techniques, and passive/active fault tolerant control  ...  [50] defined an effective gear fault location detection methodology using Acoustic Emission (AE) sensors for splitting torque gearbox by analyzing the arrival time of the AE bursts to determine the  ... 
doi:10.1109/systol.2013.6693906 fatcat:pg7e2qvhvfcnjdgyu572nslr7y

2021 International Conference on Unmanned Aircraft Systems - Final program

2021 2021 International Conference on Unmanned Aircraft Systems (ICUAS)  
On behalf of the ICUAS Association Inc., and in my capacity as the President of the Association, it is a privilege, a great pleasure and an honor to welcome you to the 2021 International Conference on  ...  , scientists, engineers, practitioners, and end-users; advance the state-of-the-art in unmanned aviation; promote higher education.  ...  This paper presents the integrated use of multiple cameras to detect, track and localize multiple moving objects, especially drones, in real-time by computer vision.  ... 
doi:10.1109/icuas51884.2021.9476682 fatcat:crdrcczqlbaebncnd76b47hfsu

Towards self-tuning residual generators for UAV control surface fault diagnosis

Mogens Blanke, Soren Hansen
2013 2013 Conference on Control and Fault-Tolerant Systems (SysTol)  
Control surface fault diagnosis is essential for timely detection of manoeuvring and stability risks for an unmanned aircraft.  ...  Timely detection is crucial since control surface related faults impact stability of flight and safety.  ...  ACKNOWLEDGEMENTS The support from the Danish Forces Joint UAV Team and the permission to publish flight data in this paper is greatly appreciated.  ... 
doi:10.1109/systol.2013.6693952 fatcat:ybdtybalpzczzflmbxzy633wfu

A Literature Survey of Unmanned Aerial Vehicle Usage for Civil Applications

Mithra Sivakumar, Naga Malleswari TYJ
2021 Journal of Aerospace Technology and Management  
Unmanned aerial vehicles aid in the detection of weeds, crop management, and the identification of plant diseases, among other issues, paving the path for researchers to create drone applications in the  ...  Unmanned aerial vehicles (UAVs) are widely utilized in the civil infrastructure because of their low maintenance costs, ease of deployment, hovering capability, and excellent mobility.  ...  The flying time of an unmanned aerial vehicle is mostly determined by its battery capacity. Most unmanned aerial vehicles are unable to carry a large amount of cargo at once due to their small size.  ... 
doi:10.1590/jatm.v13.1233 fatcat:btwhe2e3sjh3zccmfwretpwxiu

Table of Contents

2020 2020 24th International Conference on System Theory, Control and Computing (ICSTCC)  
Lagreze, Andre; Genon-Catalot, Denis Integrated Fault Detection and Diagnosis of an Unmanned Aerial Vehicle Using Time Fusing Faster R-CNN and Background Subtraction Based on the Mixture of Gaussians Model  ...  322 -327 Florea, Adrian; Fleaca, Valentin A Bayesian Approach for Fault Diagnosis in an Irrigation Canal 328 -335 Lami, Difference of Arrival 336 -342 Kantue, Paulin; Pedro, Jimoh Olarewaju  ... 
doi:10.1109/icstcc50638.2020.9259754 fatcat:iimtsyesqvhybho6ovkgeqfv4u

A Review on Fault Diagnosis and Fault Tolerant Control Methods for Single-rotor Aerial Vehicles

Xin Qi, Juntong Qi, Didier Theilliol, Youmin Zhang, Jianda Han, Dalei Song, ChunSheng Hua
2013 Journal of Intelligent and Robotic Systems  
In order to deal with these problems, this paper presents an overview of the recent development and current researches in the field of fault diagnosis, including analytical/model-based, signal processingbased  ...  Faults or failures are inevitable to occur and their prompt detection and isolation are essential for the dependability of various systems and for avoiding damages to the system itself, persons and the  ...  [52] defined an effective gear fault location detection methodology using Acoustic Emission (AE) sensors for splitting torque gearbox by analyzing the arrival time of the AE bursts to determine the  ... 
doi:10.1007/s10846-013-9954-z fatcat:mpc2l3dnvjcaxjeduof7i5y2li

DEVELOPMENT OF INTELLIGENT HYBRID ARCHITECTURE FOR AUTONOMOUS UAV

Mostafa Moussid, Adil Sayouti, Hicham Medromi.
2017 International Journal of Advanced Research  
It manages the data flow and ability to carry out fault detection/diagnosis procedures and accommodate faults (in the actuators and sensors) so as to assure an acceptable performance level (fault tolerance  ...  rapid development of unmanned aerial vehicles equipped with autonomous control devices have become a real center of interest, and different kinds of autonomous vehicles have been studied and developed  ... 
doi:10.21474/ijar01/3196 fatcat:dnntv2qj7rbahbjao5zrq3gawy

Design of Power Grid Intelligent Patrol Operation and Maintenance System Based on Multi-Rotor UAV Systems [chapter]

Qunying Liu, Haifeng Zeng, Shaojian Ni, Bowen Li, Jingsong Meng, Yiguo Zhang
2020 Studies in Applied Electromagnetics and Mechanics  
This work aims to develop a micro multi-rotor Unmanned Aerial Vehicle (UAV) system for inspecting power grid.  ...  The proposed system integrates with an intelligent robot and mobile communication networks.  ...  Acknowledgments: This work in this paper is supported by the Sichuan Province Science and Technology supporting plan (No.2019YFG0129).  ... 
doi:10.3233/saem200011 fatcat:jrby7hd3lbdbzbhamdqvr36a6i

Development of a Mobile Robot Test Platform and Methods for Validation of Prognostics-Enabled Decision Making Algorithms

Jose R. Celaya, Christopher Bond, Adam Sweet, Indranil Roychoudhury, Matthew J. Daigle, Sriram Narasimhan, Edward Balaban, George Gorospe
2013 International Journal of Prognostics and Health Management  
While certain types of vehicle health data can be effectively processed and acted upon by crew or support personnel, others, due to their complexity or time constraints, require either automated or semi-automated  ...  Prognostics-enabled Decision Making (PDM) is an emerging research area that aims to integrate prognostic health information and knowledge about the future operating conditions into the process of selecting  ...  The authors would like to gratefully acknowledge the contributions of researchers and student interns at NASA Ames  ... 
doaj:856dc98372694f60ac62298397c87029 fatcat:etpkgsajqzgr3hg4ao6hu7il44

DEVELOPMENT OF INTELLIGENT HYBRID ARCHITECTURE FOR AUTONOMOUS UAV

Alaa Bensaid, Adil Sayouti, Hicham Medromi
2020 Zenodo  
The technological innovation in robotics and in particular aerial vehicle drone-multirotor creates the need not only for advanced automation but also more autonomy, and even intelligence to develop innovative  ...  The Control architectures define how these abilities should be integrated to construct and develop an autonomous navigation with little or no human intervention.  ...  It manages the data flow and ability to carry out fault detection/diagnosis procedures and accommodate faults (in the actuators and sensors) so as to assure an acceptable performance level (fault tolerance  ... 
doi:10.5281/zenodo.3694723 fatcat:6oh5jxy5rraphljyjfckvz7aiq

Distributed Multi-Level Supervision to Effectively Monitor the Operations of a Fleet of Autonomous Vehicles in Agricultural Tasks

Jesús Conesa-Muñoz, Mariano Gonzalez-de-Soto, Pablo Gonzalez-de-Santos, Angela Ribeiro
2015 Sensors  
The system analyses all of the information provided by the sensors and subsystems on the vehicles in real time and notifies the user when a failure or potentially dangerous situation is detected.  ...  The system is based on a distributed and multi-level architecture that divides the supervision into different subsystems, allowing for better management of the detection and repair of failures.  ...  Gonzalez-de-Soto developed the algorithms for the integration of the Level 1 (tractor) and Level 2 (base station) and for test execution. P.  ... 
doi:10.3390/s150305402 pmid:25751079 pmcid:PMC4435167 fatcat:th74ai4apvg2vicjipuiatkjrm

Welcome to the 39th (Virtual) Digital Avionics Systems Conference

2020 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)  
Modular Modelling of Ground and Air Risks for  ...  Detect and Avoid for Unmanned Aircraft Systems In the latest years, sense and avoid (SAA), or detect and avoid (DAA), has represented one of the main roadblocks to the integration of unmanned aircraft  ...  The IVCA realization is underpinned by the development of fault-tolerant planning and spooling modules (fault diagnosis and recovery) as well as a module called matchmaker to link services with available  ... 
doi:10.1109/dasc50938.2020.9256428 fatcat:pqiwapgu2fezjgzt4x72ndk6s4

HMDCS-UV: A concept study of Hybrid Monitoring, Detection and Cleaning System for Unmanned Vehicles

Salima Bella, Ghalem Belalem, Assia Belbachir, Hichem Benfriha
2021 Journal of Intelligent and Robotic Systems  
This system is based on a cooperative decision architecture for an unmanned aerial vehicle to monitor and detect dirty zones (i.e., hydraulic spills), and clean them up using a swarm of unmanned surface  ...  The paper proposes a concept study of Hybrid Monitoring Detection and Cleaning System (HMDCS-UV) for a maritime region using semi-autonomous unmanned vehicles.  ...  The HMDCS-UV is based on a cooperative hybrid architecture of an Unmanned Aerial Vehicle (UAV) to monitor and detect dirty zones (hydraulic spills) and clean them from a swarm of Unmanned Surface Vehicles  ... 
doi:10.1007/s10846-021-01372-8 pmid:34054219 pmcid:PMC8147586 fatcat:tbttetw2qvgzrc6jbib2k2xsku

Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles [article]

Rocío Díaz de León Torres, Martín Molina, Pascual Campoy
2019 arXiv   pre-print
Based on the works cited in this article and analysis done here, the modules of a general decision making framework and its variables are inferred.  ...  This article reviews the applications of Bayesian Networks to Intelligent Autonomous Vehicles (IAV) from the decision making point of view, which represents the final step for fully Autonomous Vehicles  ...  Fault detection and diagnosis Iden3fy which one of their components are failing and why (origin of the fail).  ... 
arXiv:1901.05517v2 fatcat:w3nawtcwpff2dmcsn74fhexqi4

The Energodynamic Method of Diagnostics of Electronic Equipment Digital Devices

2020 International Journal of Emerging Trends in Engineering Research  
The power bus and output contacts digital device are used as a control point.  ...  Equipment of the first level, which implements this method, allows to achieve a probability of correct diagnosis of 0.95. The limitation of the method is to use it to diagnose digital device.  ...  The Method of Increasing the Detection Range of Unmanned Aerial Vehicles In Multiradar Systems Based on Surveillance Radars, in 2019 IEEE 39th International Conference on Electronics and Nanotechnology  ... 
doi:10.30534/ijeter/2020/125892020 fatcat:bxyf4j3yuzf6xast3remifxuue
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