Instrumentation & Measurement Magazine 25-5 - 29

OCM instrument has the advantage of high energy efficiency
and can meet the timeliness requirements of UAV OCM under
SWaP constraints.
In the future, other intelligent assessment methods will be
studied to further expand the function of the embedded OCM
instrument and try to apply the designed embedded OCM instrument
to other UAS. Moreover, the online operation and
scheduling of different types of intelligent assessment models
in heterogeneous SoC will be studied to improve the flexibility
of the embedded OCM instrument.
References
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Available: https://dronewars.net/wp-content/
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detection, identification, isolation and health forecasting for
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[5] K. Guo, Z. Ye, D. Liu, X. Peng. " UAV flight control sensing
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[6] B. Wang, D. Liu, Y. Peng, and X. Peng, " Multivariate regressionbased
fault detection and recovery of UAV flight data, " IEEE
Trans. Instrum. Meas., vol. 69, no. 6, pp. 3527-3537, Jun. 2019.
[7] B. Yang, R. Liu, E. Zio, " Remaining useful life prediction based on
a double-convolutional neural network architecture, " IEEE Trans.
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[8] X. Li, W. Zhang, Q. Ding, " Deep learning-based remaining useful
life estimation of bearings using multi-scale feature extraction, "
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[9] M. Khanafer and S. Shirmohammadi, " Applied AI in
instrumentation and measurement: the deep learning
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[10] J. Leško, M. Schreiner, D. Megyesi, and L. Kovács, " Pixhawk PX-4
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cave mapping using UAVs as robotic co-archaeologists, " in Proc.
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[12] N. Ayoub and P. Schneider-Kamp, " Real-time on-board deep
learning fault detection for autonomous UAV inspections, "
Electronics, vol. 10, no. 9, May 2021.
[13] D. Madronal, F. Palumbo, A. Capotondi, and A. Marongiu,
" Unmanned vehicles in smart farming: A survey and a glance
at future horizons, " in Proc. DroneSE and RAPIDO 2021, pp. 1-8,
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[14] S. Han, J. Kang, H. Mao, Y. Hu, X. Li et al., " ESE: Efficient speech
recognition engine with sparse LSTM on FPGA, " in Proc. FPGA
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[15] J. Cong, Z. Fang, M. Lo, H. Wang, J. Xu et al., " Understanding
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Benkuan Wang (S'19, wangbenkuan@hit.edu.cn) is an Assistant
Professor in the School of Electronics and Information
Engineering, Harbin Institute of Technology (HIT) in Harbin,
China. His research interests include condition monitoring,
system health management, embedded high-performance
computing, and UAS simulation and verification. He received
the B.Sc. degree from HIT at Weihai, China in 2013, and received
the M.Sc. and Ph.D. degrees from HIT, Harbin, China,
in 2015 and 2022.
Bo Chen (20B905031@stu.hit.edu.cn) is currently pursuing his
Ph.D. degree in the School of Electronics and Information Engineering,
Harbin Institute of Technology (HIT) in Harbin,
China. His research interest is UAS simulation and verification.
He received the B.Sc. degree from HIT in 2016 and received the
M.Sc. degree from Harbin University of Science and Technology,
Harbin, China in 2016.
Datong Liu (M'11-SM'16, liudatong@hit.edu.cn) is a Full
Professor in the School of Electronics and Information Engineering,
Harbin Institute of Technology (HIT) in Harbin,
China. His research interests include automatic test and
simulation, condition monitoring, system diagnostics and
prognostics, industrial big data and industrial intelligence,
and lithium-ion battery management. He received the Ph.D.
degree in instrumentation science and technology from HIT in
2010. He was a Visiting Scholar with the University of Arizona,
Tucson, AZ, USA.
Xiyuan Peng (pxy@hit.edu.cn) is a Full Professor in the School
of Electronics and Information Engineering, Harbin Institute
of Technology (HIT) in Harbin, China. His current research interests
include automatic test and advanced fault diagnostics
technology. He received the B.S., M.S., and Ph.D. degrees from
HIT in 1984, 1987, and 1992, respectively.
August 2022
IEEE Instrumentation & Measurement Magazine
29
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