Using probabilistic neural networks with wavelet transform and principal components analysis for motor fault detection

2008 IEEE 16th Signal Processing, Communication and Applications Conference ◽

10.1109/siu.2008.4632625 ◽

2008 ◽

Author(s):

Erinc Karatoprak ◽

Tayfun Senguler ◽

Serhat Seker

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Fault Detection ◽

Principal Components Analysis ◽

Principal Components ◽

Probabilistic Neural Networks ◽

Components Analysis

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FAULT DETECTION FOR LARGE SCALE SYSTEMS USING DYNAMIC PRINCIPAL COMPONENTS ANALYSIS WITH ADAPTATION

IFAC Proceedings Volumes ◽

10.3182/20060830-2-sf-4903.00039 ◽

2006 ◽

Vol 39 (14) ◽

pp. 220-225

Author(s):

Jesús Mina ◽

Cristina Verde

Keyword(s):

Fault Detection ◽

Principal Components Analysis ◽

Principal Components ◽

Large Scale ◽

Large Scale Systems ◽

Components Analysis

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Absolute Value Principal Components Analysis (AVPCA) and Parameter Estimation (PE) to bearing fault detection using rotor speed signal monitoring — A comparative study

2016 IEEE Region 10 Symposium (TENSYMP) ◽

10.1109/tenconspring.2016.7519434 ◽

2016 ◽

Author(s):

Moussa Hamadache ◽

Dongik Lee

Keyword(s):

Parameter Estimation ◽

Fault Detection ◽

Comparative Study ◽

Principal Components Analysis ◽

Principal Components ◽

Rotor Speed ◽

Absolute Value ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Components Analysis

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Identification of Neural Networks That Contribute to Motion Sickness through Principal Components Analysis of Fos Labeling Induced by Galvanic Vestibular Stimulation

PLoS ONE ◽

10.1371/journal.pone.0086730 ◽

2014 ◽

Vol 9 (1) ◽

pp. e86730 ◽

Author(s):

Carey D. Balaban ◽

Sarah W. Ogburn ◽

Susan G. Warshafsky ◽

Abdul Ahmed ◽

Bill J. Yates

Keyword(s):

Neural Networks ◽

Principal Components Analysis ◽

Motion Sickness ◽

Principal Components ◽

Vestibular Stimulation ◽

Galvanic Vestibular Stimulation ◽

Components Analysis

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Terrain classification in SAR images using principal components analysis and neural networks

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1991.170746 ◽

1991 ◽

Author(s):

S. Ghaloum ◽

M.R. Azimi-Sadjadi

Keyword(s):

Neural Networks ◽

Principal Components Analysis ◽

Principal Components ◽

Terrain Classification ◽

Components Analysis

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A feature extraction method based on probabilistic Principal components analysis and sampling importance resampling for bearing fault detection

2017 IEEE International Conference on Prognostics and Health Management (ICPHM) ◽

10.1109/icphm.2017.7998301 ◽

2017 ◽

Author(s):

Yixiang Huang ◽

Yanming Li ◽

Chengliang Liu ◽

Xiao Liu

Keyword(s):

Feature Extraction ◽

Fault Detection ◽

Principal Components Analysis ◽

Principal Components ◽

Extraction Method ◽

Feature Extraction Method ◽

Sampling Importance Resampling ◽

Bearing Fault ◽

Components Analysis ◽

Importance Resampling

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REDUCTION OF INPUT VARIABLES IN ARTIFICIAL NEURAL NETWORKS AS FROM PRINCIPAL COMPONENTS ANALYSIS DATA IN THE MODELING OF DISSOLVED OXYGEN

Química Nova ◽

10.5935/0100-4042.20160024 ◽

2016 ◽

Author(s):

Saulo Rodrigues e Silva ◽

Fernando Schimidt

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Dissolved Oxygen ◽

Principal Components Analysis ◽

Principal Components ◽

Analysis Data ◽

Components Analysis ◽

Artificial Neural ◽

Input Variables

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Speech recognition using Principal Components Analysis and Neural Networks

2016 IEEE 8th International Conference on Intelligent Systems (IS) ◽

10.1109/is.2016.7737405 ◽

2016 ◽

Author(s):

Shaham Shabani ◽

Yaser Norouzi

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Principal Components Analysis ◽

Principal Components ◽

Components Analysis

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Combined Input Training and Radial Basis Function Neural Networks based Nonlinear Principal Components Analysis Model Applied for Process Monitoring

Proceedings of the 4th International Joint Conference on Computational Intelligence ◽

10.5220/0004152304830492 ◽

2012 ◽

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Principal Components Analysis ◽

Process Monitoring ◽

Principal Components ◽

Basis Function ◽

Analysis Model ◽

Radial Basis ◽

Components Analysis

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Neural networks for seismic principal components analysis

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.739164 ◽

1999 ◽

Vol 37 (1) ◽

pp. 297-311 ◽

Author(s):

Kou-Yuan Huang

Keyword(s):

Neural Networks ◽

Principal Components Analysis ◽

Principal Components ◽

Components Analysis

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Application of Principal Components Analysis to improve fault detection and diagnosis on semiconductor manufacturing equipment

2013 European Control Conference (ECC) ◽

10.23919/ecc.2013.6669553 ◽

2013 ◽

Author(s):

Alexis Thieullen ◽

Mustapha Ouladsine ◽

Jacques Pinaton

Keyword(s):

Fault Detection ◽

Principal Components Analysis ◽

Principal Components ◽

Semiconductor Manufacturing ◽

Fault Detection And Diagnosis ◽

Manufacturing Equipment ◽

Components Analysis ◽

Detection And Diagnosis

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