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浏览/检索结果:
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Learnable faster kernel-PCA for nonlinear fault detection: Deep autoencoder-based realization
期刊论文
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2024, 卷号: 40, 页码: 13
作者:
Ren, Zelin
;
Jiang, Yuchen
;
Yang, Xuebing
;
Tang, Yongqiang
;
Zhang, Wensheng
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/07/22
Kernel Principal Component Analysis (KPCA)
Fault detection
Process monitoring
Autoencoder
Data-driven
An adapted component-connection method for building SBDD encoding a dynamic fault tree
期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2022
作者:
Guo, Dingqing
;
Wang, Jinkai
;
Lin, Jian
;
Zhang, Bing
;
Yong, Nou
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/12/23
Component connection
dynamic fault tree
sequential binary decision diagram
Heuristic strategies
calculable logic terms
A Quality-Related Fault Detection Method Based on the Dynamic Data-Driven Algorithm for Industrial Systems
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 1-11
作者:
Sun, Cheng-Yuan
;
Yin, Yi-Zhen
;
Kang HB(康浩博)
;
Ma HJ(马宏军)
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/01/20
Fault detection
Kernel
Monitoring
Heuristic algorithms
Nonlinear dynamical systems
Entropy
Principal component analysis
Dynamic feature
quality-related
fault detection
KECA
DKECR
Fault feature extraction of rolling bearing integrating KPCA and t-SNE
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 431-440
作者:
Wang, Wang-Wang
;
Deng, Lin-Feng
;
Zhao, Rong-Zhen
;
Wu, Yao-Chun
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2022/02/17
Clustering algorithms
Data mining
Extraction
Feature extraction
Frequency domain analysis
Nearest neighbor search
Stochastic systems
Time domain analysis
Fault feature extractions
Feature extraction methods
Global and local structures
High dimensional feature
K-nearest neighbor classifier
Kernel principal component analyses (KPCA)
Rolling bearing vibration
Stochastic neighbor embedding
Fault detection algorithm of batch process based on improved neighborhood preserving embedding-independent component analysis
期刊论文
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 卷号: 27, 期号: 4, 页码: 1062-1071
作者:
Zhao, Xiaoqiang
;
Yao, Hongjuan
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Batch data processing
Bayesian networks
Embeddings
Gaussian distribution
Gaussian noise (electronic)
Independent component analysis
Inference engines
Signal detection
Bayesian inference
Detection effect
Fault detection algorithm
Local information
Mixed distribution
Neighborhood preserving embedding
Non-Gaussian informations
Penicillin production
Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1465-1476
作者:
Donglei Zheng
;
Le Zhou
;
Zhihuan Song
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/06/11
Fault detection
kernel method
multi-rate process
probability principal component analysis (PPCA)
Fault detection and diagnosis for plasticizing process of single-base gun propellant using mutual information weighted mpca under limited batch samples modelling
期刊论文
Machines, 2021, 卷号: 9, 期号: 8, 页码: 1-24
作者:
Yang MY(杨明毅)
;
Wang JY(王军义)
;
Zhang YL(张吟龙)
;
Bai XL(白鑫林)
;
Xu ZG(徐志刚)
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/08/28
Bayesian inference
Early warning of failure
Fault detection and diagnosis
Gun propellant
Normalized mutual information
Plasticizing process
Principal component analysis
A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant
期刊论文
ANNALS OF NUCLEAR ENERGY, 2020, 卷号: 141
作者:
Yao, Yuantao
;
Wang, Jin
;
Xie, Min
;
Hu, Liqin
;
Wang, Jianye
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2020/11/26
NPP
Fault diagnosis
State information imaging
Machine learning
Kernel principal component analysis
F1 score
DPCA与GA-SVM融合的智能台车液压系统故障诊断
期刊论文
控制工程, 2020, 卷号: 27, 期号: 11, 页码: 1980
作者:
陈昭明
;
徐泽宇
;
赵迎
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/04
Hydraulic system
fault diagnosis
dynamic principal component analysis
genetic algorithm
support vector machine
液压系统
故障诊断
动态主成分分析
遗传算法
支持向量机
A New Fault Diagnosis Method for Rotating Machinery Based on SCA-FastICA
期刊论文
Mathematical Problems in Engineering, 2020, 卷号: 2020
作者:
Miao, Feng
;
Zhao, Rongzhen
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Blind source separation
Failure analysis
Independent component analysis
Rotating machinery
Signal denoising
Vibration analysis
Conventional methods
De-noised signals
Fast independent component analysis
Fault diagnosis method
Machine health monitoring
Noise and vibration
Simulation tests
Vibration sources
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