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Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm
期刊论文
SENSORS, 2023, 卷号: 23, 期号: 16, 页码: 18
作者:
Jiang, Sha
;
Chen, Yonghua
;
Liu, Qingkui
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/13
Sage-Husa adaptive kalman filter
combined filter
wave direction spectrum
acceleration sensor
Resolver-To-Digital Conversion Based on Acceleration-Compensated Angle Tracking Observer
期刊论文
IEEE Transactions on Instrumentation and Measurement, 2019, 卷号: Vol.68 No.10, 页码: 3494-3502
作者:
Wang, F.a
;
Shi, T.b
;
Yan, Y.a
;
Wang, Z.c
;
Xia, C.b,c
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/11/21
Acceleration
Rotors
Windings
Signal resolution
Steady-state
Observers
Phase locked loops
Phase-locked loops (PLLs)
position measurement
rotating machine measurements
sensor systems and applications
tracking loops
The Sensitivity Design of Piezoresistive Acceleration Sensor in Industrial IoT
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16952-16963
作者:
Dong, Chen
;
Ye, Yin
;
Liu, Ximeng
;
Yang, Yang
;
Guo, Wenzhong
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/11/21
structural sensitivity optimization
piezoresistive acceleration sensor
grasshopper optimization algorithm
Industrial Internet of Things
Simulating and Testing Microvibrations on an Optical Satellite Using Acceleration Sensor-Based Jitter Measurements
期刊论文
Sensors, 2019, 卷号: 19, 期号: 8, 页码: 13
作者:
S.B.Chen
;
M.Xuan
;
L.Zhang
;
S.Gu
;
X.X.Gong
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  |  
浏览/下载:0/0
  |  
提交时间:2020/08/24
microvibration,optical amplification factor,acceleration sensor,jitter measurement,pixel offset,micro-vibration
An acceleration feed-forward control method based on fusion of model output and sensor data
期刊论文
SENSORS AND ACTUATORS A-PHYSICAL, 2018, 卷号: 284, 页码: 186-193
作者:
He, Qiunong
;
Luo, Yong
;
Mao, Yao
;
Zhou, Xi
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  |  
浏览/下载:44/0
  |  
提交时间:2019/08/23
Tracking ability
MEMS accelerometer
Acceleration feed-forward
Fusion of model and sensor
Acceleration sensor placement technique for vibration test in structural health monitoring using microhabitat frog-leaping algorithm
期刊论文
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2018, 卷号: 17, 页码: 169-184
作者:
Feng, Shuo
;
Jia, Jinqing
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/02
Optimal sensor placement
frog-leaping algorithm
microhabitat frog-leaping algorithm
structure engineering
3-axis acceleration sensor
A Method of Channel Capacity Optimization Based on Dynamically Adjusted Inertia Weight Acceleration Factor in Cognitive Sensing Network
期刊论文
2018 IEEE/ACIS 16TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH, MANAGEMENT AND APPLICATION (SERA), 2018, 页码: 184-188
作者:
Wei, Dongdong
;
Hu, Yanjun
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  |  
浏览/下载:9/0
  |  
提交时间:2019/04/24
cognitive sensor network
channel capacity optimization
dynamic adjustment
inertia weight acceleration factor
particle swarm optimization
local search
Active Vibration Control of a Dynamic Hysteresis System Using mu-Synthesis
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 76831-76837
作者:
Liu, Jiabin
;
Zhou, Kemin
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/11
Vibration control
mu synthesis
robust control
Hammerstein model
piezoelectric actuator
acceleration sensor
rate-dependent hysteresis
Adaptive compressed sensing for acceleration data transmission in human motion capture
会议论文
Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
作者:
Zhang, S.
;
Feng, R.
;
Wu, Y.
;
Yu, N.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Acceleration
Biomedical engineering
Compressed sensing
Correlation methods
Data transfer
Image processing
Sensor nodes
Acceleration data
Compression data
Human motion capture
Measurement accuracy
Reconstruction accuracy
sparsity
Structural characteristics
Transmission time
Data compression ratio
Paralleled Structure-Based String-Type Fiber Bragg Grating Acceleration Sensor
期刊论文
IEEE Sensors Journal, 2017, 卷号: 17, 期号: 5, 页码: 1325-1332
作者:
Li, Tianliang*
;
Tan, Yuegang
;
Xia, Ping
;
Zhou, Zude
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/04
Transverse property of optical fiber
string-type optical fiber
fiber Bragg grating
acceleration sensor
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