A Novel Kalman Filter-Based Prognostics Framework for Performance Degradation of Quadcopter Motors-Reference-Cited by-同舟云学术

A Novel Kalman Filter-Based Prognostics Framework for Performance Degradation of Quadcopter Motors

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lee Dongwoo¹^ORCID,Park Hyung Jun²^ORCID,Lee Dongmin³^ORCID,Lee Sangchul³^ORCID,Choi Joo-Ho²^ORCID

Affiliation:

1. Avionics Research Institute, Korea Aerospace University, Goyang, South Korea

2. Department of Aerospace & Mechanical Engineering, Korea Aerospace University, Goyang, South Korea

3. Department of Smart Air Mobility, Korea Aerospace University, Goyang, South Korea

Funder

National Research Foundation of Korea

Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10316286.pdf?arnumber=10316286

Reference31 articles.

1. A technocritical review of drones crash risk probabilistic consequences and its societal acceptance;Susini;RIMMA Risk Inf. Manage., Risk Models, Appl.,2015

2. A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches

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