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2020 – today
- 2024
[j34]Gaëtan Frusque
, Olga Fink:
Robust time series denoising with learnable wavelet packet transform. Adv. Eng. Informatics 62: 102669 (2024)- [j33]Mengjie Zhao, Olga Fink:
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems. IEEE Internet Things J. 11(13): 22950-22965 (2024) - [j32]Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, Cees Taal, Olga Fink:
Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction. Reliab. Eng. Syst. Saf. 242: 109718 (2024) - [j31]Sergei Garmaev, Olga Fink:
Deep Koopman Operator-based degradation modelling. Reliab. Eng. Syst. Saf. 251: 110351 (2024) - [j30]Mina Montazeri, Pegah Rokhforoz, Hamed Kebriaei, Olga Fink:
Incentive Mechanism in the Sponsored Content Market With Network Effects. IEEE Trans. Comput. Soc. Syst. 11(1): 1460-1466 (2024) - [j29]Tianfu Li, Chuang Sun, Olga Fink, Yuangui Yang, Xuefeng Chen, Ruqiang Yan:
Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis. IEEE Trans. Cybern. 54(1): 506-518 (2024) - [e1]Slawomir Nowaczyk, Myra Spiliopoulou, Marco Ragni, Olga Fink:
Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, 19 October 2024. CEUR Workshop Proceedings 3765, CEUR-WS.org 2024 [contents] - [i79]Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink:
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression. CoRR abs/2401.13721 (2024) - [i78]Yuan Tian, Wenqi Zhou, Hao Dong, David S. Kammer, Olga Fink:
Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making. CoRR abs/2402.05306 (2024) - [i77]Mariam Hassan, Florent Forest, Olga Fink, Malcolm Mielle:
ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis. CoRR abs/2403.12154 (2024) - [i76]Mengjie Zhao, Cees Taal, Stephan Baggerohr, Olga Fink:
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks. CoRR abs/2404.02304 (2024) - [i75]Raffael Theiler, Olga Fink:
Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity. CoRR abs/2404.03368 (2024) - [i74]Keivan Faghih Niresi, Hugo Bissig, Henri Baumann, Olga Fink:
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things. CoRR abs/2404.08061 (2024) - [i73]Mina Montazeri, Chetan Kulkarni, Olga Fink:
Prescribing Optimal Health-Aware Operation for Urban Air Mobility with Deep Reinforcement Learning. CoRR abs/2404.08497 (2024) - [i72]Hao Dong, Yue Zhao, Eleni N. Chatzi, Olga Fink:
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities. CoRR abs/2405.17419 (2024) - [i71]Florent Forest, Katharina Rombach, Olga Fink:
Interpretable Prognostics with Concept Bottleneck Models. CoRR abs/2405.17575 (2024) - [i70]Ismail Nejjar, Faez Ahmed, Olga Fink:
IM-Context: In-Context Learning for Imbalanced Regression Tasks. CoRR abs/2405.18202 (2024) - [i69]Han Sun, Yunkang Cao, Olga Fink:
CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework. CoRR abs/2406.01078 (2024) - [i68]Han Sun, Kevin Ammann, Stylianos Giannoulakis, Olga Fink:
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions. CoRR abs/2406.06607 (2024) - [i67]Punnawat Siripathitti, Florent Forest, Olga Fink:
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection. CoRR abs/2406.18586 (2024) - [i66]Hao Dong, Eleni N. Chatzi, Olga Fink:
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision. CoRR abs/2407.01518 (2024) - [i65]Yan Hao, Florent Forest, Olga Fink:
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights. CoRR abs/2407.07586 (2024) - [i64]Mengjie Zhao, Cees Taal, Stephan Baggerohr, Olga Fink:
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics. CoRR abs/2407.18691 (2024) - [i63]Zhichao Han, Mohit Pundir, Olga Fink, David S. Kammer:
Learning Physics-Consistent Material Behavior Without Prior Knowledge. CoRR abs/2407.20273 (2024) - [i62]Zepeng Zhang, Olga Fink:
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks. CoRR abs/2408.02797 (2024) - [i61]Wenyang Hu, Gaëtan Frusque, Tianyang Wang, Fulei Chu, Olga Fink:
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring. CoRR abs/2409.01676 (2024) - [i60]Raffael Theiler, Olga Fink:
Integrating the Expected Future: Schedule Based Energy Forecasting. CoRR abs/2409.05884 (2024) - 2023
- [j28]Baorui Dai, Gaëtan Frusque, Tianfu Li, Qi Li, Olga Fink:
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios. Eng. Appl. Artif. Intell. 126(Part D): 107202 (2023) - [j27]Pegah Rokhforoz, Mina Montazeri, Olga Fink:
Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets. Expert Syst. Appl. 225: 120010 (2023) - [j26]Yuan Tian, Klaus-Rudolf Kladny, Qin Wang, Zhiwu Huang, Olga Fink:
Multi-agent actor-critic with time dynamical opponent model. Neurocomputing 517: 165-172 (2023) - [j25]Katharina Rombach, Gabriel Michau, Olga Fink:
Controlled generation of unseen faults for Partial and Open-Partial domain adaptation. Reliab. Eng. Syst. Saf. 230: 108857 (2023) - [j24]Pegah Rokhforoz, Mina Montazeri, Olga Fink:
Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units. Reliab. Eng. Syst. Saf. 232: 109081 (2023) - [c12]Ismail Nejjar, Qin Wang, Olga Fink:
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices. CVPR 2023: 11744-11754 - [c11]Keivan Faghih Niresi, Mengjie Zhao, Hugo Bissig, Henri Baumann, Olga Fink:
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems. SENSORS 2023: 1-4 - [c10]Hao Dong, Ismail Nejjar, Han Sun, Eleni N. Chatzi, Olga Fink:
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization. NeurIPS 2023 - [i59]Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, Cees Taal, Olga Fink:
Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction. CoRR abs/2302.01704 (2023) - [i58]Ismail Nejjar, Qin Wang, Olga Fink:
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices. CoRR abs/2303.13325 (2023) - [i57]Mina Montazeri, Pegah Rokhforoz, Hamed Kebriaei, Olga Fink:
Incentive Mechanism in the Sponsored Content Market with Network Effect. CoRR abs/2303.14113 (2023) - [i56]Jiawei Xiong, Olga Fink, Jian Zhou, Yizhong Ma:
Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions. CoRR abs/2304.11702 (2023) - [i55]Hao Lu, Adam Thelen, Olga Fink, Chao Hu, Simon Laflamme:
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis. CoRR abs/2304.13275 (2023) - [i54]Zhichao Han, Olga Fink, David S. Kammer:
Collective Relational Inference for learning physics-consistent heterogeneous particle interactions. CoRR abs/2305.00557 (2023) - [i53]Venkat Nemani, Luca Biggio, Xun Huan, Zhen Hu, Olga Fink, Anh Tran, Yan Wang, Xiaoping Du, Xiaoge Zhang, Chao Hu:
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial. CoRR abs/2305.04933 (2023) - [i52]Jong Moon Ha, Olga Fink:
Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis. CoRR abs/2305.19569 (2023) - [i51]Tommaso Bendinelli, Luca Biggio, Daniel Nyfeler, Abhigyan Ghosh, Peter Tollan, Moritz Alexander Kirschmann, Olga Fink:
Gemtelligence: Accelerating Gemstone classification with Deep Learning. CoRR abs/2306.06069 (2023) - [i50]Gaëtan Frusque, Daniel Mitchell, Jamie Blanche, David Flynn, Olga Fink:
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach. CoRR abs/2306.10808 (2023) - [i49]Baorui Dai, Gaëtan Frusque, Tianfu Li, Qi Li, Olga Fink:
Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios. CoRR abs/2307.01429 (2023) - [i48]Mengjie Zhao, Olga Fink:
Dynamic Graph Attention for Anomaly Detection in Heterogeneous Sensor Networks. CoRR abs/2307.03761 (2023) - [i47]Sergei Garmaev, Olga Fink:
Deep Koopman Operator-based degradation modelling. CoRR abs/2308.01690 (2023) - [i46]Chi-Ching Hsu, Gaëtan Frusque, Olga Fink:
A Comparison of Residual-based Methods on Fault Detection. CoRR abs/2309.02274 (2023) - [i45]Keivan Faghih Niresi, Mengjie Zhao, Hugo Bissig, Henri Baumann, Olga Fink:
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems. CoRR abs/2309.04508 (2023) - [i44]Vinay Sharma, Jens Ravesloot, Cees Taal, Olga Fink:
Graph Neural Networks for Dynamic Modeling of Roller Bearing. CoRR abs/2309.10418 (2023) - [i43]Florent Forest, Hugo Porta, Devis Tuia, Olga Fink:
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring. CoRR abs/2309.11267 (2023) - [i42]Hao Dong, Ismail Nejjar, Han Sun, Eleni N. Chatzi, Olga Fink:
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization. CoRR abs/2310.19795 (2023) - [i41]Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink:
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation. CoRR abs/2311.11961 (2023) - [i40]Florent Forest, Olga Fink:
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis. CoRR abs/2312.02826 (2023) - [i39]Gaëtan Frusque, Ismail Nejjar, Majid Nabavi, Olga Fink:
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion. CoRR abs/2312.02867 (2023) - 2022
- [j23]Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel:
Artificial intelligence across company borders. Commun. ACM 65(1): 34-36 (2022) - [j22]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing physics-based and deep learning models for prognostics. Reliab. Eng. Syst. Saf. 217: 107961 (2022) - [j21]Pegah Rokhforoz, Olga Fink:
Maintenance scheduling of manufacturing systems based on optimal price of the network. Reliab. Eng. Syst. Saf. 217: 108088 (2022) - [j20]Yuan Tian, Minghao Han, Chetan S. Kulkarni, Olga Fink:
A prescriptive Dirichlet power allocation policy with deep reinforcement learning. Reliab. Eng. Syst. Saf. 224: 108529 (2022) - [j19]Qin Wang, Cees Taal, Olga Fink:
Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [c9]Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CVPR 2022: 7191-7201 - [c8]Ismail Nejjar, Jean Meunier-Pion, Gaëtan Frusque, Olga Fink:
DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning. DCASE 2022 - [c7]Gaëtan Frusque, Olga Fink:
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms. ICASSP 2022: 3119-3123 - [c6]Chi-Ching Hsu, Gaëtan Frusque, Mahir Muratovic, Christian M. Franck, Olga Fink:
Vacuum Circuit Breaker Closing Time Key Moments Detection via Vibration Monitoring: A Run-to-Failure Study. SMC 2022: 254-260 - [i38]Yuan Tian, Minghao Han, Chetan S. Kulkarni, Olga Fink:
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning. CoRR abs/2201.08445 (2022) - [i37]Gaëtan Frusque, Olga Fink:
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms. CoRR abs/2201.11069 (2022) - [i36]Zhichao Han, David S. Kammer, Olga Fink:
Learning Physics-Consistent Particle Interactions. CoRR abs/2202.00299 (2022) - [i35]Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CoRR abs/2203.13591 (2022) - [i34]Yuan Tian, Klaus-Rudolf Kladny, Qin Wang, Zhiwu Huang, Olga Fink:
Multi-agent Actor-Critic with Time Dynamical Opponent Model. CoRR abs/2204.05576 (2022) - [i33]Katharina Rombach, Gabriel Michau, Olga Fink:
Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation. CoRR abs/2204.14068 (2022) - [i32]Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, Olga Fink:
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction. CoRR abs/2206.02555 (2022) - [i31]Gaëtan Frusque, Olga Fink:
Robust Time Series Denoising with Learnable Wavelet Packet Transform. CoRR abs/2206.06126 (2022) - [i30]Pegah Rokhforoz, Olga Fink:
Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets. CoRR abs/2208.06242 (2022) - [i29]Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu:
A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives. CoRR abs/2208.12904 (2022) - [i28]Katharina Rombach, Gabriel Michau, Kajan Ratnasabapathy, Lucian-Stefan Ancu, Wilfried Bürzle, Stefan Koller, Olga Fink:
Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications. CoRR abs/2208.13288 (2022) - [i27]Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu:
A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies. CoRR abs/2208.14197 (2022) - 2021
- [j18]Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink:
Uncertainty-Aware Prognosis via Deep Gaussian Process. IEEE Access 9: 123517-123527 (2021) - [j17]Pegah Rokhforoz, Olga Fink:
Hierarchical multi-agent predictive maintenance scheduling for trains using price-based approach. Comput. Ind. Eng. 159: 107475 (2021) - [j16]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics. Data 6(1): 5 (2021) - [j15]Manuel Arias Chao, Bryan T. Adey, Olga Fink:
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders. Neurocomputing 454: 324-338 (2021) - [j14]Gabriel Michau, Olga Fink:
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer. Knowl. Based Syst. 216: 106816 (2021) - [j13]Pegah Rokhforoz, Blazhe Gjorgiev, Giovanni Sansavini, Olga Fink:
Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market. Reliab. Eng. Syst. Saf. 210: 107495 (2021) - [j12]Gabriel Michau, Chi-Ching Hsu, Olga Fink:
Interpretable Detection of Partial Discharge in Power Lines with Deep Learning. Sensors 21(6): 2154 (2021) - [j11]Katharina Rombach, Gabriel Michau, Olga Fink:
Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types. Sensors 21(10): 3550 (2021) - [j10]Qin Wang, Gabriel Michau, Olga Fink:
Missing-Class-Robust Domain Adaptation by Unilateral Alignment. IEEE Trans. Ind. Electron. 68(1): 663-671 (2021) - [c5]Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV 2021: 8495-8505 - [i26]Gabriel Rodriguez Garcia, Gabriel Michau, Herbert H. Einstein, Olga Fink:
Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines. CoRR abs/2101.02463 (2021) - [i25]Luca Biggio, Alexander Wieland, Manuel Arias Chao, Iason Kastanis, Olga Fink:
Uncertainty-aware Remaining Useful Life predictor. CoRR abs/2104.03613 (2021) - [i24]Pegah Rokhforoz, Olga Fink:
Maintenance scheduling of manufacturing systems based on optimal price of the network. CoRR abs/2104.06654 (2021) - [i23]Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2104.13613 (2021) - [i22]Gabriel Michau, Olga Fink:
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series. CoRR abs/2105.00899 (2021) - [i21]Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel:
Artificial intelligence across company borders. CoRR abs/2107.03912 (2021) - [i20]Gaëtan Frusque, Gabriel Michau, Olga Fink:
Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection. CoRR abs/2107.09519 (2021) - [i19]Pegah Rokhforoz, Olga Fink:
Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units. CoRR abs/2112.10459 (2021) - 2020
- [j9]Olga Fink, Qin Wang, Markus Svensén, Pierre Dersin, Wan-Jui Lee, Melanie Ducoffe:
Potential, challenges and future directions for deep learning in prognostics and health management applications. Eng. Appl. Artif. Intell. 92: 103678 (2020) - [c4]Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink:
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. ECCV (7) 2020: 175-192 - [c3]Katharina Rombach, Gabriel Michau, Olga Fink:
Improving generalization of deep fault detection models in the presence of mislabeled data. SMC 2020: 3103-3110 - [i18]Qin Wang, Gabriel Michau, Olga Fink:
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. CoRR abs/2001.02015 (2020) - [i17]Pegah Rokhforoz, Blazhe Gjorgiev, Giovanni Sansavini, Olga Fink:
Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market. CoRR abs/2002.12217 (2020) - [i16]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Fusing Physics-based and Deep Learning Models for Prognostics. CoRR abs/2003.00732 (2020) - [i15]Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink:
Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms. CoRR abs/2005.07031 (2020) - [i14]Oliver Ammann, Gabriel Michau, Olga Fink:
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks. CoRR abs/2005.07078 (2020) - [i13]Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Real-Time Model Calibration with Deep Reinforcement Learning. CoRR abs/2006.04001 (2020) - [i12]Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink:
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. CoRR abs/2007.09180 (2020) - [i11]Chi-Ching Hsu, Gabriel Michau, Olga Fink:
Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines. CoRR abs/2008.05838 (2020) - [i10]Gabriel Michau, Olga Fink:
Transferring Complementary Operating Conditions for Anomaly Detection. CoRR abs/2008.07815 (2020) - [i9]Katharina Rombach, Gabriel Michau, Olga Fink:
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data. CoRR abs/2009.14606 (2020) - [i8]Pegah Rokhforoz, Olga Fink:
Distributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition. CoRR abs/2011.13743 (2020) - [i7]Ajaykumar Unagar, Yuan Tian, Manuel Arias Chao, Olga Fink:
Battery Model Calibration with Deep Reinforcement Learning. CoRR abs/2012.04010 (2020)
2010 – 2019
- 2019
- [c2]Gabriel Michau, Olga Fink:
Unsupervised Fault Detection in Varying Operating Conditions. ICPHM 2019: 1-10 - [i6]Qin Wang, Gabriel Michau, Olga Fink:
Domain Adaptive Transfer Learning for Fault Diagnosis. CoRR abs/1905.06004 (2019) - [i5]Gabriel Michau, Olga Fink:
Unsupervised Fault Detection in Varying Operating Conditions. CoRR abs/1907.06481 (2019) - [i4]Gabriel Michau, Olga Fink:
Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions. CoRR abs/1907.09204 (2019) - [i3]Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink:
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models. CoRR abs/1908.01529 (2019) - [i2]Manuel Arias Chao, Bryan T. Adey, Olga Fink:
Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. CoRR abs/1912.12502 (2019) - 2018
- [j8]Yann Qi Chen, Olga Fink, Giovanni Sansavini:
Combined Fault Location and Classification for Power Transmission Lines Fault Diagnosis With Integrated Feature Extraction. IEEE Trans. Ind. Electron. 65(1): 561-569 (2018) - [i1]Gabriel Michau, Yang Hu, Thomas Palmé, Olga Fink:
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals. CoRR abs/1810.05550 (2018) - 2017
- [j7]Yang Hu, Thomas Palmé, Olga Fink:
Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines. Eng. Appl. Artif. Intell. 57: 105-117 (2017) - 2016
- [j6]Ronay Ak, Olga Fink, Enrico Zio:
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1734-1747 (2016) - [c1]Yang Hu, Olga Fink, Thomas Palmé:
Online sequential extreme learning machines for fault detection. ICPHM 2016: 1-8 - 2015
- [j5]Olga Fink, Enrico Zio, Ulrich Weidmann:
Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures. IEEE Trans. Reliab. 64(3): 861-868 (2015) - [j4]Olga Fink, Enrico Zio, Ulrich Weidmann:
A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data. IEEE Trans. Reliab. 64(3): 1049-1056 (2015) - 2014
- [j3]Olga Fink, Enrico Zio, Ulrich Weidmann:
Quantifying the reliability of fault classifiers. Inf. Sci. 266: 65-74 (2014) - [j2]Olga Fink, Enrico Zio, Ulrich Weidmann:
Predicting component reliability and level of degradation with complex-valued neural networks. Reliab. Eng. Syst. Saf. 121: 198-206 (2014) - 2013
- [j1]Olga Fink, Enrico Zio, Ulrich Weidmann:
Predicting time series of railway speed restrictions with time-dependent machine learning techniques. Expert Syst. Appl. 40(15): 6033-6040 (2013)
Coauthor Index
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last updated on 2024-10-31 20:15 CET by the dblp team
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