Intelligent fault diagnosis for multi-rotor unmanned aerial vehicles using extreme learning neuro-fuzzy systems

• Main Author: T Thanaraj
• Other Authors: Ng Bing Feng
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Unmanned aerial vehicles; Intelligent fault diagnosis; Neuro-fuzzy systems; Extreme learning
• Online Access: https://hdl.handle.net/10356/175942
• Institution: Nanyang Technological University

Multi-rotor unmanned aerial vehicles (UAVs) have grown popular due to their versatility in applications such as videography, surveillance, and cargo transport. Despite their utility, these UAVs like many mechanical systems, are susceptible to component degradation. Particularly, faults in critical c...