UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 33

Sortiert nach

A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing

Chinese journal of mechanical engineering, 2017-11, Vol.30 (6), p.1347-1356

English ed., 2017

Link zum Volltext

Verfügbarkeit prüfen

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2020-06, Vol.69 (6), p.2658-2669

2020

Link zum Volltext
IEEE_Xplore

Multilevel Information Fusion for Induction Motor Fault Diagnosis

IEEE/ASME transactions on mechatronics, 2019-10, Vol.24 (5), p.2139-2150

2019

Link zum Volltext
IEEE_Xplore

Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization

Mechanical systems and signal processing, 2019-01, Vol.114, p.25-34

2019

Link zum Volltext

Verfügbarkeit prüfen

Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear

IEEE transactions on instrumentation and measurement, 2020-02, Vol.69 (2), p.401-410

2020

Link zum Volltext
IEEE_Xplore

Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions

IEEE transactions on instrumentation and measurement, 2020-08, Vol.69 (8), p.5335-5344

2020

Link zum Volltext
IEEE_Xplore

A Light Weight Multisensory Fusion Model for Induction Motor Fault Diagnosis

IEEE/ASME transactions on mechatronics, 2022-12, Vol.27 (6), p.4932-4941

2022

Link zum Volltext
IEEE_Xplore

Automated Model Generation for Machinery Fault Diagnosis Based on Reinforcement Learning and Neural Architecture Search

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-12

2022

Link zum Volltext
IEEE_Xplore

Ensemble sparse supervised model for bearing fault diagnosis in smart manufacturing

Robotics and computer-integrated manufacturing, 2020-10, Vol.65, p.101920, Article 101920

2020

Link zum Volltext

Verfügbarkeit prüfen

Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-1

2022

Link zum Volltext
IEEE_Xplore

Multisensor Data Fusion for Physical Activity Assessment

IEEE transactions on biomedical engineering, 2012-03, Vol.59 (3), p.687-696

2012

Link zum Volltext
IEEE_Xplore

An efficient approach to machine health diagnosis based on harmonic wavelet packet transform

Robotics and computer-integrated manufacturing, 2005-08, Vol.21 (4), p.291-301

2005

Link zum Volltext

Verfügbarkeit prüfen

A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN

IEEE transactions on instrumentation and measurement, 2020-05, Vol.69 (5), p.2377-2389

2020

Link zum Volltext
IEEE_Xplore

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

IEEE transactions on systems, man, and cybernetics. Systems, 2022-04, Vol.52 (4), p.2302-2312

2022

Link zum Volltext
IEEE_Xplore

Bearing fault diagnosis based on SVD feature extraction and transfer learning classification

2015 Prognostics and System Health Management Conference (PHM), 2015, p.1-6

2015

Link zum Volltext

Verfügbarkeit prüfen

Multi-scale enveloping order spectrogram for rotating machine health diagnosis

Mechanical systems and signal processing, 2014-05, Vol.46 (1), p.28-44

2014

Link zum Volltext

Verfügbarkeit prüfen

Learning features from vibration signals for induction motor fault diagnosis

2016 International Symposium on Flexible Automation (ISFA), 2016, p.71-76

2016

Link zum Volltext
IEEE_Xplore

Energy-Based Feature Extraction for Defect Diagnosis in Rotary Machines

IEEE transactions on instrumentation and measurement, 2009-09, Vol.58 (9), p.3130-3139

2009

Link zum Volltext
IEEE_Xplore

Integrated method of generalized demodulation and artificial neural network for robust bearing fault recognition

Procedia manufacturing, 2021, Vol.53, p.628-635

2021

Link zum Volltext

Verfügbarkeit prüfen

Wavelet transform with spectral post-processing for enhanced feature extraction [machine condition monitoring]

IEEE transactions on instrumentation and measurement, 2003-08, Vol.52 (4), p.1296-1301

2003

Link zum Volltext
IEEE_Xplore

Induction motor fault diagnosis based on ensemble classifiers

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016, p.1-5

2016

Link zum Volltext

Verfügbarkeit prüfen

Multi-sensor data fusion for improved measurement accuracy in injection molding

2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings, 2016, p.1-5

2016

Link zum Volltext

Verfügbarkeit prüfen

SVM-based multi-sensor fusion for free-living physical activity assessment

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.3188-3191

2011

Link zum Volltext
IEEE_Xplore

Classification of physical activities based on sparse representation

2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012-01, Vol.2012, p.6200-6203

2012

Link zum Volltext
IEEE_Xplore

Statistical analysis of symbol sequence distributions for machine condition monitoring

2008 34th Annual Conference of IEEE Industrial Electronics, 2008, p.1925-1930

2008

Link zum Volltext
IEEE_Xplore

1 – 25 von 33

Suche als RSS-Feed

Aktive Filter

ThemaFeature Extraction

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(17)
Mit Volltextzugriff
(28)

Publikationsform

Artikel
(19)
Tagungsberichte
(14)

Sprache

Englisch
(33)
Japanisch
(2)

Erscheinungsjahr

n.n

Thema

Science & Technology
(26)
Technology
(26)
Engineering
(23)
Engineering, Electrical & Electronic
(16)
Fault Diagnosis
(16)
Instruments & Instrumentation
(11)
Induction Motors
(7)
Vibrations
(7)
Deep Learning
(6)
Machine Learning
(6)
Algorithms
(5)
Computer Science
(5)
Condition Monitoring
(5)
Data Models
(5)
Engineering, Manufacturing
(5)
Engineering, Mechanical
(5)
Neural Networks
(5)
Wavelet Transforms
(5)
Accuracy
(4)

14 weitere anzeigen...

Weniger anzeigen...

Kollektion

IEEE Electronic Library (IEL)
(23)
Ingenta.com
(16)
Elsevier ScienceDirect Journals Complete
(4)
MEDLINE
(3)
EZB Free E-Journals
(2)
Springer Nature - Complete Springer Journals
(1)

1 weiteren anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

A Deep Learning Approach for Fault Diagnosis of Induction Motors in Manufacturing

DCNN-Based Multi-Signal Induction Motor Fault Diagnosis

Multilevel Information Fusion for Induction Motor Fault Diagnosis

Machine health monitoring based on locally linear embedding with kernel sparse representation for neighborhood optimization

Generalized Vold-Kalman Filtering for Nonstationary Compound Faults Feature Extraction of Bearing and Gear

Probabilistic Transfer Factor Analysis for Machinery Autonomous Diagnosis Cross Various Operating Conditions

A Light Weight Multisensory Fusion Model for Induction Motor Fault Diagnosis

Automated Model Generation for Machinery Fault Diagnosis Based on Reinforcement Learning and Neural Architecture Search

Ensemble sparse supervised model for bearing fault diagnosis in smart manufacturing

Texture-Aware Ridgelet Transform and Machine Learning for Surface Roughness Prediction

Multisensor Data Fusion for Physical Activity Assessment

An efficient approach to machine health diagnosis based on harmonic wavelet packet transform

A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

Bearing fault diagnosis based on SVD feature extraction and transfer learning classification

Multi-scale enveloping order spectrogram for rotating machine health diagnosis

Learning features from vibration signals for induction motor fault diagnosis

Energy-Based Feature Extraction for Defect Diagnosis in Rotary Machines

Integrated method of generalized demodulation and artificial neural network for robust bearing fault recognition

Wavelet transform with spectral post-processing for enhanced feature extraction [machine condition monitoring]

Induction motor fault diagnosis based on ensemble classifiers

Multi-sensor data fusion for improved measurement accuracy in injection molding

SVM-based multi-sensor fusion for free-living physical activity assessment

Classification of physical activities based on sparse representation

Statistical analysis of symbol sequence distributions for machine condition monitoring

Aktive Filter

Suchergebnisse filtern