×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
兰州理工大学 [19]
内容类型
会议论文 [19]
发表日期
2018 [1]
2017 [2]
2016 [1]
2015 [1]
2014 [3]
2013 [2]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共19条,第1-10条
帮助
限定条件
内容类型:会议论文
专题:兰州理工大学
第一署名单位
第一作者单位
通讯作者单位
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Particle Filtering for Fault Diagnosis in Nonlinear Plants Based on Adaptive Threshold Method
会议论文
作者:
Jiang, Dongnian
;
Li, Wei
;
Shen, Fuyuan
;
Xu, Tianpeng
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
Adaptive threshold
Particle filtering
Fault diagnosis
Nonlinear system
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
  |  
浏览/下载:0/0
  |  
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
Fault diagnosis model based on NRS and EEMD for rolling-element bearing
会议论文
Harbin, China, July 9, 2017 - July 12, 2017
作者:
Lian, Jin
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Classification (of information)
Computer aided diagnosis
Failure analysis
Fault detection
Support vector machines
Time domain analysis
Classification algorithm
EEMD
Ensemble empirical mode decompositions (EEMD)
Fault diagnosis model
Fault identifications
Feature attributes
Neighborhood rough sets
Rolling Element Bearing
A feature extraction method for fault diagnosis of scroll compressors
会议论文
Xian, China, August 19, 2016 - August 22, 2016
作者:
Liu, Tao
;
Ma, Zhuanxia
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/11/15
Ambient intelligence
Artificial intelligence
Computer aided diagnosis
Entropy
Extraction
Failure analysis
Fault detection
Feature extraction
Intelligent robots
Noise abatement
Signal denoising
Singular value decomposition
De-noised signals
Difference spectrum
Effective algorithms
Fault conditions
Fault feature extractions
Feature extraction methods
Feature information
Permutation entropy
Fault Detection and Diagnosis for Non-Gaussian Singular Stochastic Distribution Systems
会议论文
作者:
Jing, Shi
;
Yi, Qu
;
Peng, Du
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/11/15
probability density fuctions
singuktr stochastic distribution
controljault detection
diagnosis
Fault detection CVA algorithm of chemical process based on ISOMAP
会议论文
Nanjing, China, July 28, 2014 - July 30, 2014
作者:
Zhao, Xiaoqiang
;
Zhang, Xiaoxiao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Chemical detection
Canonical variate analysis
Cross correlations
Detection simulations
ISOMAP
Isometric feature mapping
Nonlinear dimensionality reduction
Nonlinear problems
TE process
Modal analysis of high-order elliptical gears
会议论文
Hangzhou, China, July 26, 2014 - July 27, 2014
作者:
Liu, Yong Ping
;
Yang, Cun
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/11/15
Fault detection
Machine design
Machinery
Vibrations (mechanical)
Characteristics analysis
Dynamic characteristics
Elliptic gears
High-order
Machinery fault diagnosis
Mechanical structures
Natural vibration characteristic
Non-circular gears
Fault Detection CVA Algorithm of Chemical Process Based on ISOMAP
会议论文
作者:
Zhao Xiaoqiang
;
Zhang Xiaoxiao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
Fault detection
ISOMAP
CVA
TE Process
Design of wind turbine vibration monitor based on DSP + ARM
会议论文
Nanjing, China, May 15, 2013 - May 16, 2013
作者:
Wang, Qiang
;
Wang, Hui-Zhong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/11/15
Time domain analysis
Bearing fault
Bearing vibrations
Comprehensive monitoring
DSP+ARM
Man-machine interface
Vibration
Wavelet Packet Analysis
Wind generator systems
An Improved KPCA Algorithm of Chemical Process Fault Diagnosis Based on RVM
会议论文
作者:
Zhao Xiaoqiang
;
Xue Yongfei
;
Yang Wu
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
KPCA-SVM
KPCA-RVM
fault detection
fault identification
TE process
©版权所有 ©2017 CSpace - Powered by
CSpace