The use of UAVs, particularly multirotors, is susceptible to collisions or crashes that can result in damage to the propellers or multirotor arms. However, cracks in the structure often go unnoticed. There is a pressing need for a real-time fault detection system capable of identifying crack instances, especially when such damage occurs during flight operations.
1) If a UAV, particularly a multirotor, collides or crashes, there might be some damage to the propellers or multirotor arms
2) Cracks is often overlooked. Therefore, a real-time fault detection system that can detect crack cases is highly desired
3) In case the crack scenario is only triggered during flight mode
Development of a novel fault detection algorithm that combines the elements of sensor fusion and fuzzy logic to detect multiple fault cases (crack scenarios and motor failure) and is applicable in different multirotor modes without the need to upload a new code.
1) Fault detection of multirotor; whether quadcopter, hexacopter, or octocopter
2) Cracks can be detected automatically, and it can also be performed across various drone modes simultaneously without the need to upload a new algorithm to the system or prototype
3) The future application that the technical output of this project likely to have is the real-time portable vibration-based fault detection device, which not only applicable to drones, but also to rotating
1) The technology is unique in a way that it can detect both mechanical and electrical faults in multirotor simultaneously
2) Can be applied across multiple multirotor modes
3) Competitor products only focus on one type of faults, be it mechanical or electrical faults
4) Another competitive advantage of our product is the user-friendly feature, where users can monitor the multirotor condition from the tablet or smartphone