Fetching the paper…
Reading the bibliography…
With the increased availability of condition monitoring data and the increased complexity of explicit system physics-based models, the application of data-driven approaches for fault detection and isolation has recently grown.
Network constraints and multi-objective optimization for one-class classification
Mary M. Moya and Don R. Hush · 1996
Earlier work this paper cites.
New extension of the Kalman filter to nonlinear systems
Simon J Julier and Jeffrey K Uhlmann · 1997
Earlier work this paper cites.
Support vector method for novelty detection
Bernhard Schölkopf, Robert Williamson, Alex Smola, John Shawe-Taylor, and John Piatt · 2000
Earlier work this paper cites.
United States Patent Design of an Adaptive Model-Based Control for Controlling a Gas Turbine, 2004
Brent J.; Brunell, Jr. Harry K. Mathews, and Aditya Kumar · 2004
Earlier work this paper cites.
Integrated In-Flight Fault Detection and Accommodation: A Model-Based Study
Randal T. Rausch, Kai F. Goebel, Neil H. Eklund, and Brent J. Brunell · 2005
Earlier work this paper cites.
Power distribution fault cause identification with imbalanced data using the data mining-based fuzzy classification e e -algorithm
Le Xu, Mo-Yuen Chow, and Leroy S Taylor · 2007
Earlier work this paper cites.
User’s Guide for the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS)
Dean K Frederick, Jonathan A Decastro, and Jonathan S Litt · 2007
Earlier work this paper cites.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
Earlier work this paper cites.
DASHlink - Flight Data For Tail 687, 2012
2012
Earlier work this paper cites.
Variations on the Kalman Filter for Enhanced Performance Monitoring of Gas Turbine Engines
S.J Borguet · 2012
Earlier work this paper cites.
Efficient backprop
Yann A. LeCun, Léon Bottou, Genevieve B. Orr, and Klaus Robert Müller · 2012
Earlier work this paper cites.
Online class imbalance learning and its applications in fault detection
Shuo Wang, Leandro L Minku, and Xin Yao · 2013
Cited alongside, same era.
Toward Open Set Recognition
W. J. Scheirer, A. de Rezende Rocha, A. Sapkota, and T. E. Boult · 2013
Cited alongside, same era.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
Cited alongside, same era.
Robust signal reconstruction for condition monitoring of industrial components via a modified auto associative kernel regression method
Piero Baraldi, Francesco Di Maio, Pietro Turati, and Enrico Zio · 2015
Cited alongside, same era.
Calibration and Uncertainty Quantification of Gas Turbine Performance Models
Manuel Arias Chao, Darrel S. Lilley, Peter Mathé, and Volker Schloßhauer · 2015
Cited alongside, same era.
Hierarchical Extreme Learning Machine for unsupervised representation learning
Hybrid Physics-Based and Data-Driven Phm
H Hanachi, W Yu, I Y Kim, and C K Mechefske · 2017
Later among the works it cites.
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals
Gabriel Michau, Yang Hu, Thomas Palmé, and Olga Fink · 2017
Later among the works it cites.
A review on the application of deep learning in system health management, jul 2018
Samir Khan and Takehisa Yairi · 2018
Later among the works it cites.
Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning
Yuyan Zhang, Xinyu Li, Liang Gao, Lihui Wang, and Long Wen · 2018
Later among the works it cites.
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael Steinbach, Jordan Read, Paul C Hanson, Hilary A Dugan, and Vipin Kumar · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wentao Zhu, Jun Miao, Laiyun Qing, and Guang-Bin Huang · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Lei Ba · 2015
Cited alongside, same era.
Deep Learning and Its Applications to Machine Health Monitoring: A Survey
Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, and Robert X Gao · 2016
Cited alongside, same era.
Hybrid Model-Based and Data-Driven Fault Detection and Diagnostics for Commercial Buildings
Stephen Frank, Mike Heaney, Xin Jin, Joseph Robertson, Howard Cheung, Ryan Elmore, and Gregor P Henze · 2016
Cited alongside, same era.
Tutorial on Variational Autoencoders
Carl Doersch · 2016
Cited alongside, same era.
Fault detection based on signal reconstruction with auto-associative extreme learning machines
Yang Hu, Thomas Palmé, and Olga Fink · 2017
Cited alongside, same era.
Deep feature learning network for fault detection and isolation
Gabriel Michau, Thomas Palmé, and Olga Fink · 2017
Cited alongside, same era.
Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras
Dipanjan Sarkar, Raghav Bali, and Tamoghna Ghosh · 2018
Later among the works it cites.
Domain adaptive transfer learning for fault diagnosis
Qin Wang, Gabriel Michau, and Olga Fink · 2019
Closest in time.
Fleet prognosis with physics-informed recurrent neural networks
Renato Giorgiani Nascimento and Felipe A.C. Viana · 2019
Closest in time.
Physics-Informed Neural Networks for Corrosion-Fatigue Prognosis
Arinan Dourado and Felipe A. C. Viana · 2019
Closest in time.
Wind Turbine Main Bearing Fatigue Life Estimation with Physics-informed Neural Networks
Yigit Anil Yucesan and Felipe A C Viana · 2019
Closest in time.
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2019
Closest in time.