Remaining useful life prediction of integrated modular avionics using ensemble enhanced online sequential parallel extreme learning machine-Reference-Cited by-同舟云学术

Remaining useful life prediction of integrated modular avionics using ensemble enhanced online sequential parallel extreme learning machine

Published:2021-02-27 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Zehai Gao^ORCID,Cunbao Ma,Jianfeng Zhang,Weijun Xu

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-021-01283-y.pdf

Reference48 articles.

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2. Gao ZH, Ma CB, She ZY, Dong X (2018) An enhanced deep extreme learning machine for integrated modular avionics health state estimation. IEEE Access 6:65813–65823

3. Matos HLV (2018) Model-based specification of integrated modular avionics systems using object-process methodology. In: 2018 IEEE/AIAA 37th digital avionics systems conference, pp 1–8

4. Wang Y, Lei H, Hackett R, Beeby M (2019) Safety assessment process optimization for integrated modular avionics. IEEE Aerosp Electron Syst Mag 34:58–67

5. Zhou Q, Wang J et al (2020) A two-phase multiobjective local search for the device allocation in the distributed integrated modular avionics. IEEE Access 8:1–10

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