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兰州理工大学 [4]
西安交通大学 [2]
兰州大学 [2]
北京航空航天大学 [1]
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会议论文 [6]
期刊论文 [3]
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2011 [1]
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Spatial autoregressive model for compositional data [成分数据的空间自回归模型]
期刊论文
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2019, 卷号: 45, 页码: 93-98
作者:
Huang, T.
;
Wang, H.
;
Saporta, G.
收藏
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浏览/下载：4/0
|
提交时间：2019/12/30
Intelligent systems
Maximum likelihood estimation
Monte Carlo methods
Auto regressive models
Compositional data
Compositional linear models
Estimation methods
Isometric logratio (ilr) transformation
Numerical data
Parameter estimators
Spatial dependence
Metadata
Application of EWT AR model and FCM clustering in rolling bearing fault diagnosis
会议论文
Harbin, China, July 9, 2017 - July 12, 2017
作者:
Li, Jipu
;
Zhao, Rongzhen
;
Deng, Linfeng
收藏
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浏览/下载：0/0
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提交时间：2020/11/15
Failure analysis
Fault detection
Frequency modulation
Roller bearings
Vibration analysis
Wavelet transforms
AR models
Auto regressive models
Fault diagnosis method
Fault identifications
Fuzzy C mean clustering
Fuzzy C mean clustering (FCM)
High dimensional feature
Locality preserving projections
Adaptive detection and correction method for anomalous wind speed
会议论文
19-1#, Jiangong Road, Xi'an, China, October 25, 2016 - October 28, 2016
作者:
Chen, Wei
;
Wu, Butuo
;
Pei, Xiping
;
Yan, Hongqiang
收藏
|
浏览/下载：16/0
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提交时间：2020/11/15
Data acquisition
Forecasting
Hidden Markov models
Interpolation
Radial basis function networks
Stochastic systems
Systematic errors
Wind power
Auto-regressive integrated moving average
Cubic-spline interpolation
Data acquisition system
Empirical Mode Decomposition
Empirical mode decomposition method
Forecasting accuracy
Identification method
Wind speed sequences
High-rise structure damage identification based on pseudo-transfer function
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2015, 卷号: 35, 期号: 1, 页码: 63-69
作者:
Li, Wanrun
;
Du, Yongfeng
;
Ni, Yiqing
;
Li, Hui
收藏
|
浏览/下载：6/0
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提交时间：2020/11/14
Degrees of freedom (mechanics)
Structures (built objects)
Transfer functions
White noise
Auto regressive models
Damage Identification
Fit ratio
High rise structures
Transform function
Analysis of blood pressure variability based on frequency spectrum
期刊论文
Metallurgical and Mining Industry, 2015, 卷号: 7, 期号: [db:dc_citation_issue], 页码: 206-212
作者:
Ren, Yumiao
;
Fan, Yiyuan
收藏
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浏览/下载：3/0
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提交时间：2019/12/02
Auto regressive models
Blood pressure variability
Cardio-vascular disease
Fast Fourier transform algorithm
Fundamental period
Matlab simulations
Periodograms
Welch periodogram
Analysis and models for the friction coefficient of a sliding bearing
会议论文
Anshan, China, July 13, 2013 - July 14, 2013
作者:
Wang, Bao Min
;
Xu, Jin Xin
;
Zhu, Fei
;
Wu, Zai Xin
收藏
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浏览/下载：43/0
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提交时间：2020/11/15
Bearings (machine parts)
Composite structures
Data handling
Design
Models
System theory
Analysis and models
Friction coefficients
Grey relational grade
Grey system theory
Non-linear auto-regressive moving averages
Non-linear model
Rotational speed
Sliding bearing
The prediction of surface layer ozone concentration using an improved AR model
会议论文
2011 International Conference on Information Technology, Computer Engineering and Management Sciences, ICM 2011, Nanjing, Jiangsu, China, September 24, 2011 - September 25, 2011
作者:
Zhang, Wen-Yu
;
Han, Ting-Ting
;
Zhao, Zeng-Bao
;
Zhang, Jin
;
Wang, Yan-Feng
收藏
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浏览/下载：2/0
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提交时间：2017/01/18
Forecasting
Concentration (process)
Information technology
Management science
Ozone
Ozone layer
AR models
Auto regressive models
Autoregressive methods
Coastal cities
Concentration data
Empirical results
Error terms
Filtered errors
Observed data
Ozone concentration
Ozone concentration forecast
Short term
Surface layers
Tianjin , China
An improved combined forecasting method for electric power load based on autoregressive integrated moving average model
会议论文
2010 International Conference of Information Science and Management Engineering, ISME 2010, Xi'an, China, August 7, 2010 - August 8, 2010
作者:
Jin, Xin
;
Dong, Yao
;
Wu, Jie
;
Wang, Jujie
收藏
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浏览/下载：4/0
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提交时间：2017/01/20
Electric load forecasting
Electric utilities
Electricity
Errors
Information science
ARIMA models
Australia
Auto-regressive integrated moving average
Autoregressive integrated moving average models
Combined forecasting
Combined method
Electric power
Electric utility grid
Electrical power system
Forecasting methods
Least cost
New South Wales
Peak power
Power load
Power load forecasting
Residual error
Weighted mean
Research and application of modeling for spacecraft TT&C ship swaying data
会议论文
作者:
Zhang, Zhonghua
;
Huang, Kai
;
Li, Xiaoyong
;
Yang, Lei
;
Chen, Guiming
收藏
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浏览/下载：3/0
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提交时间：2019/12/18
Auto regressive models
Model application
Predicting method
Real time filtering
Research and application
Residual correlation
RMSE (root mean square error)
Time sequences
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