IoT based Automatic Fault Identification and Alerting System for Unmanned Aerial Vehicles

Varigonda, Vamsi krishna; Agrawal, Bhavya; Annamalai, Vinoth Kumar

doi:10.1109/icisc47916.2020.9171187

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The algorithms sense whether the UAV is inside or outside of the geofence and have an alarm to warn the operator [10]. This geofencing concept can be assumed to contain no-fly zones.…”

Section: Uav Alerting Systemmentioning

confidence: 99%

Design of Alerting System for Beyond Visual Line of Sight Operational Cargo Delivery UAV

Sonaria,

Jenie

2024

war. ardhia

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The development of drones is now crucial to many industries, investors, and governments as they are more cost-effective and efficient in various industries, such as filmmaking, consumer, and tourism. They can also be used in various fields, such as agriculture, meteorology, construction, logistics, and conservation. Beyond Visual Line of Sight (BVLOS) technology enables drone operations to perform missions more accurately as it allows them to be operated in a wider angular range. BVLOS includes the use of advanced technologies and systems to monitor drones and ensure they comply with regulations. As such, BVLOS can be used to optimise marine cargo drone operations. In addition, the Ground Control System (GCS) is used by multi-UAV systems to remotely monitor drone performance. This enables advancements in navigation and autonomous technologies that can be utilised in the maritime sector. However, the operation of cargo delivery UAVs, especially those operated as multi-UAVs, requires a surveillance system supported by a qualified warning system. One of them is a warning system that will appear when the UAV approaches the boundary of the area of operation that has been set at the beginning. The warning system aims to improve safety and security because by warning UAVs approaching or entering restricted or sensitive areas, this system can prevent unauthorised access or accidents, ensuring the safety and security of the area and the UAV itself. In addition, it improves efficiency and reduces costs where the warning system can help UAVs avoid entering prohibited or unauthorised locations, improving efficiency, and reducing costs associated with re-routing or returning to home. For this reason, in this research, the design of a warning system for UAVs approaching the boundary of the operating area is performed and shown through simulation. In this research, a two-level alert system was designed and simulated that is triggered when the UAV approaches the boundary of the specified operation area to enable the operation supervisor to perform safety procedures in response to mitigate potential risks.

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“…The algorithms sense whether the UAV is inside or outside of the geofence and have an alarm to warn the operator [10]. This geofencing concept can be assumed to contain no-fly zones.…”

Section: Uav Alerting Systemmentioning

confidence: 99%

Design of Alerting System for Beyond Visual Line of Sight Operational Cargo Delivery UAV

Sonaria,

Jenie

2024

war. ardhia

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“…A fault identification and an alerting system was suggested in [134] in order to enhance the reliability of UAVs. The system can be used to inform the pilot of any failure after analyzing UAV flight parameters and this results to the reduction of UAV failures.…”

Section: Anomaly Detection In Uavsmentioning

confidence: 99%

A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles

Fourlas

Karras

2021

Machines

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The continuous evolution of modern technology has led to the creation of increasingly complex and advanced systems. This has been also reflected in the technology of Unmanned Aerial Vehicles (UAVs), where the growing demand for more reliable performance necessitates the development of sophisticated techniques that provide fault diagnosis and fault tolerance in a timely and accurate manner. Typically, a UAV consists of three types of subsystems: actuators, main structure and sensors. Therefore, a fault-monitoring system must be specifically designed to supervise and debug each of these subsystems, so that any faults can be addressed before they lead to disastrous consequences. In this survey article, we provide a detailed overview of recent advances and studies regarding fault diagnosis, Fault-Tolerant Control (FTC) and anomaly detection for UAVs. Concerning fault diagnosis, our interest is mainly focused on sensors and actuators, as these subsystems are mostly prone to faults, while their healthy operation usually ensures the smooth and reliable performance of the aerial vehicle.

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Feasibility of Multi-Configuration Unmanned Aerial Vehicle for Last Mile Delivery of Medical Supplies

Varigonda

Borole

Hudge

et al. 2021

2021 Asian Conference on Innovation in Technology (ASIANCON)

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IoT based Automatic Fault Identification and Alerting System for Unmanned Aerial Vehicles

Cited by 4 publications

References 9 publications

Design of Alerting System for Beyond Visual Line of Sight Operational Cargo Delivery UAV

Design of Alerting System for Beyond Visual Line of Sight Operational Cargo Delivery UAV

A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles

Feasibility of Multi-Configuration Unmanned Aerial Vehicle for Last Mile Delivery of Medical Supplies

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