Multivariate data analysis for motor failure detection and isolation in a multicopter uav using real-flight attitude signals

HIGHLIGHTS

• who: Signals et al. from the RRC, IIIT Hyderabad, India have published the Article: Multivariate Data Analysis for Motor Failure Detection and Isolation in A Multicopter UAV Using Real-Flight Attitude Signals, in the Journal: (JOURNAL)
• what: One thing that is common in all these cases is fault detection and identification (FDI), which is the focus of this work. Third, this work proposes a stochastic-time series representation of the flight dynamics, which is computationally light when compared to machine_learning or neural_networks for online implementations.. The authors focus on using three statistical methods for the . . .
  

   

  

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