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By Author
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A Novel Methodology for Health Assessment in Printed Circuit Boards
John Taco, Prayag Gore, Takanobu Minami, Pradeep Kundu, Alexander Suer, Jay Lee
Abstract
584 | PDF Downloads
321
PDF
Page 556-562
A Novel Methodology for Health Assessment in Printed Circuit Boards
johntaco, Prayag Gore, Takanobu Minami, Pradeep Kundu, Jay Lee
Abstract
31 | PDF Downloads
15
PDF
Page 556-562
Evolving the Data Management Backbone: Binary OSA-CBM and Code Generation for OSA-EAI
Andreas Löhr, Matthias Buderath
Abstract
2638 | PDF Downloads
144
PDF
An Approach to Condition Monitoring of BLDC Motors with Experimentally Validated Simulation Data
Max Weigert
Abstract
256 | PDF Downloads
298
PDF
Page 521-529
Application of Machine Learning Methods to Predict the Quality of Electric Circuit Boards of a Production Line
Immo Schmidt, Lorenz Dingeldein, David Hünemohr, Henrik Simon, Max Weigert
Abstract
29 | PDF Downloads
13
PDF
Page 550-555
Pattern Detection in Status Codes as an Optimization Tool in Offshore Wind Farms
P Doro, L Scerri, P Guillame, J Helsen
Abstract
92 | PDF Downloads
85
PDF
Noise-Robust Representation for Fault Identification with Limited Data via Data Augmentation
Zahra Taghiyarrenani, Amirhossein Berenji
Abstract
206 | PDF Downloads
160
PDF
Page 473-479
A Data-driven Approach for RUL Prediction of an Experimental Filtration System
Hani Beirami, Davide Calzà, Alessandro Cimatti, Manjurul Islam, Marco Roveri, Piergiorgio Svaizer
Abstract
720 | PDF Downloads
602
PDF
Near real-time monitor of rail way track adhesion conditions
Inka Laura Marie Locht, Nikolaas Nuttert Oosterhof
Abstract
465 | PDF Downloads
497
PDF
Data-Driven Capability-based Health Monitoring Method for Automative Manufacturing
Alexandre Gaffet, Pauline Ribot, Elodie Chanthery, Nathalie Barbosa Roa, Christophe Merle
Abstract
249 | PDF Downloads
214
PDF
Page 12
Remaining Useful Life Prediction for Experimental Filtration System: A Data Challenge
Kürşat Ince, Engin Sirkeci, Yakup Genç
Abstract
657 | PDF Downloads
948
PDF
Fault Detection and Classification for Robotic Test-bench
Kürşat İnce, Uğur Ceylan, Nazife Nur Erdoğmuş, Engin Sirkeci, Yakup Genc
Abstract
407 | PDF Downloads
352
PDF
Page 7
Application of Machine Learning Methods to Predict the Quality of Electric Circuit Boards of a Production Line
Immo Schmidt, Lorenz Dingeldein , David Hünemohr , Henrik Simon , Max Weigert
Abstract
363 | PDF Downloads
447
PDF
Page 550-555
Algorithmically Exploiting the Knowledge Accumulated in Textual Domains for Technical Support
Daniele Pau, Isaia Tarquini, Matteo Iannitelli, Carmine Allegorico
Abstract
253 | PDF Downloads
223
PDF
Page 12
A Method to Estimate the Remaining Useful Life of a Filter Using a Hybrid Approach Based on Kernel Regression and Simple Statistics
Roman Łomowski, Szczepan Hummel
Abstract
923 | PDF Downloads
436
PDF
Long Horizon Anomaly Prediction in Multivariate Time Series with Causal Autoencoders
Mulugeta Weldezgina Asres, Grace Cummings, Aleko Khukhunaishvili, Pavel Parygin, Seth I. Cooper, David Yu, Jay Dittmann, Christian W. Omlin
Abstract
528 | PDF Downloads
437
PDF
Page 21-31
Implementing MIMOSA Standard
Johannes Drever, Helmut Naughton, Michael Nagel, Andreas L¨ohr, Matthias Buderath
Abstract
202 | PDF Downloads
376
PDF
Rule-based Diagnostics of a Production Line
Osarenren Kennedy Aimiyekagbon, Lars Muth, Meike Wohlleben, Amelie Bender, Walter Sextro
Abstract
395 | PDF Downloads
413
PDF
Page 10
Dynamic Weighted PSVR-Based Ensembles for Prognostics of Nuclear Components
Jie Liu, Valeria Vitelli, Redouane Seraoui, Enrico Zio
Abstract
126 | PDF Downloads
99
PDF
Prediction Capability Assessment of Data-Driven Prognostic Methods for Railway Applications
Francesco Di Maio, Pietro Turati, Enrico Zio
Abstract
180 | PDF Downloads
96
PDF
Health assessment of traction-motor blowers regarding their deformation degradation
Alexandre Trilla, Pau Gratac`os, David Guinart, Allegra Alessi, Benjamin Lamoureux
Abstract
399 | PDF Downloads
131
PDF
Fleet PHM for Critical Systems
Gabriel Michau, Thomas Palmé, Dr., Olga Fink, Dr.
Abstract
724 | PDF Downloads
3479
PDF
Diagnosis of Tidal Turbine Vibration Data through Deep Neural Networks
Grant S. Galloway, Victoria M. Catterson, Thomas Fay, Andrew Robb, Craig Love
Abstract
172 | PDF Downloads
94
PDF
A Deep Support Vector Data Description Method for Anomaly Detection in Helicopters
Chenyu Liu, Konstantinos Gryllias
Abstract
955 | PDF Downloads
1550
PDF
Page 9
Lifetime prediction of wind turbine blades using degradation model considering variable load profiles
Rosmawati Jihin, Manh-Hung Do, Dirk S¨offker
Abstract
665 | PDF Downloads
710
PDF
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