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K

Kai Goebel

stinger ghaffarian technologies, inc. (sgt)

58H-index
453Paper Count
1.6WCitation Count
Published Papers 48
Publication Date
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Integrating LLMs and Classical Planning for Pallet Logistics: A Case Study
errIFAC PAPERSONLINE
IF0
err2025-11-01
err0
PREAI
errGoebel, Kai; Lorang, Pierrick; Staderini, Vanessa; Zips, Patrik
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A comprehensive review and evaluation framework for data-driven prognostics: Uncertainty, robustness, interpretability, and feasibility
errMechanical Systems and Signal Processing
IF8.9
err2025-07-07
err0
errOAAI
errMariana Salinas-Camus; Kai Goebel; Nick Eleftheroglou
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errSave
Health index estimation through integration of general knowledge with unsupervised learning
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2024-11-01
err0
errOAAI
errBajarunas, Kristupas; Baptista, Marcia L.; Goebel, Kai; Chao, Manuel Arias
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errSave
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2024-02-01
err6
errOAAI
errKamariotis, Antonios; Tatsis, Konstantinos; Chatzi, Eleni; Goebel, Kai; Straub, Daniel
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Editorial: Special issue on Physics-informed machine learning enabling fault feature extraction and robust failure prognosis
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2023-06-01
err3
errOAAI
errHu, Chao; Goebel, Kai; Howey, David; Peng, Zhike; Wang, Dong; Wang, Peng; Youn, Byeng D.
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Relation between prognostics predictor evaluation metrics andlocal interpretability SHAP values
errartificial intelligence review
IF4.6
err2022-05-01
err107
errOAAI
errBaptista, Marcia L.; Goebel, Kai; Henriques, Elsa M. P.
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errSave
Real-time model calibration with deep reinforcement learning
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2022-02-01
err27
errOAAI
errTian, Yuan; Chao, Manuel Arias; Kulkarni, Chetan; Goebel, Kai; Fink, Olga
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errSave
Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2022-01-01
err142
PREAI
errShi, Junchuan; Peng, Dikang; Peng, Zhongxiao; Zhang, Ziyang; Goebel, Kai; Wu, Dazhong
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errSave
Fusing physics-based and deep learning models for prognostics
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2022-01-01
err183
errOAAI
errChao, Manuel Arias; Kulkarni, Chetan; Goebel, Kai; Fink, Olga
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errSave
Exploring Architectures for Integrated Resilience Optimization
errJOURNAL OF AEROSPACE INFORMATION SYSTEMS
IF1.5
err2021-10-01
err2
PREAI
errHulse, Daniel; Biswas, Arpan; Hoyle, Christopher; Tumer, Irem Y.; Kulkarni, Chetan; Goebel, Kai
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A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes
errNEUROCOMPUTING
IF6.5
err2021-10-01
err14
errOAAI
errBaptista, Marcia Lourenco; Henriques, Elsa M. P.; Goebel, Kai
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errSave
Improving tail accuracy of the predicted cumulative distribution function of time of failure
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2021-03-01
err1
PREAI
errSierra, Gina; Robinson, Elinirina, I; Goebel, Kai
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errSave
More effective prognostics with elbow point detection and deep learning
errMECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF8.9
err2021-01-01
err19
PREAI
errBaptista, Marcia L.; Henriques, Elsa M. P.; Goebel, Kai
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errSave
Bearing Life Prediction With Informed Hyperprior Distribution: A Bayesian Hierarchical and Machine Learning Approach
errIEEE ACCESS
IF3.6
err2021-01-01
err3
errOAAI
errMishra, Madhav; Martinsson, Jesper; Goebel, Kai; Rantatalo, Matti
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errSave
A Novel Model-Based Framework for Power Consumption Prognosis in Multirotors Applied to the Battery End of Discharge Prognostics
errJOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS
IF1.9
err2020-03-25
err1
PREAI
errSierra, Gina; Goebel, Kai
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errSave
Network Reconfiguration for Increasing Transportation System Resilience Under Extreme Events
errRISK ANALYSIS
IF3.3
err2019-04-30
err33
PREAI
errZhang, Xiaoge; Mahadevan, Sankaran; Goebel, Kai
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errSave
Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2019-02-01
err33
PREAI
errSierra, G.; Orchard, M.; Goebel, K.; Kulkarni, C.
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errSave
Resilience evaluation of the environmental control and life support system of a spacecraft for deep space travel
errACTA ASTRONAUTICA
IF3.4
err2018-11-01
err5
errOAAI
errMatelli, Jose Alexandre; Goebel, Kai
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errSave
Computational Architecture for Autonomous Decision-Making in Unmanned Aerial Vehicles
errMICRO- AND NANOTECHNOLOGY SENSORS, SYSTEMS, AND APPLICATIONS X
IF0
err2018-05-10
err2
PREAI
errSankararaman, Shankar; Goebel, Kai
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errSave
Bayesian hierarchical model-based prognostics for lithium-ion batteries
errRELIABILITY ENGINEERING & SYSTEM SAFETY
IF11
err2018-04-01
err56
PREAI
errMishra, Madhav; Martinsson, Jesper; Rantatalo, Matti; Goebel, Kai
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
M
Michael Pecht
H-index: 104 · Papers: 1.5K
E
Enrico Zio
H-index: 98 · Papers: 1.8K
S
Sankaran Mahadevan
H-index: 78 · Papers: 714
Z
Zhike Peng
H-index: 70 · Papers: 592
王栋 cover
王栋 (Dong Wang)
H-index: 70 · Papers: 1.1K
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