Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles.
- DOI
- 10.36001/ijphm.2018.v9i1.2700
- Published
- 2018 Jan 1
- Container
- International journal of prognostics and health management
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.36001/ijphm.2018.v9i1.2700,
title = {Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles.},
author = {Hogge EF and Bole BM and Vazquez SL and Kulkarni CS and Strom TH and Hill BL and Smalling KM and Quach CC},
year = {2018},
journal = {International journal of prognostics and health management},
doi = {10.36001/ijphm.2018.v9i1.2700},
url = {https://doi.org/10.36001/ijphm.2018.v9i1.2700}
}RIS
TY - JOUR TI - Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles. AU - Hogge EF AU - Bole BM AU - Vazquez SL AU - Kulkarni CS AU - Strom TH AU - Hill BL AU - Smalling KM AU - Quach CC PY - 2018 JO - International journal of prognostics and health management DO - 10.36001/ijphm.2018.v9i1.2700 UR - https://doi.org/10.36001/ijphm.2018.v9i1.2700 ER -
APA
EF, H., BM, B., SL, V., CS, K., TH, S., BL, H., KM, S., & CC, Q. (2018). Verification of Prognostic Algorithms to Predict Remaining Flying Time for Electric Unmanned Vehicles.. International journal of prognostics and health management. https://doi.org/10.36001/ijphm.2018.v9i1.2700
Source records
- pubmed · retrieved 2026-09-26T16:01:56.893Z