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References from Extracting Running-in Dynamics from Operational Time Series Using Long Short-Term Memory Networks. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep learning for time series classification: A review
10.1007/s10618-019-00619-1 · 2019 · External reference
A review on the application of deep learning in system health management
10.1016/j.ymssp.2017.11.024 · 2018 · External reference
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
10.1016/j.ymssp.2017.11.016 · 2018 · External reference
Introduction of a time series machine learning methodology for the application in a production system
10.1016/j.aei.2020.101197 · 2021 · External reference
On the nature of running-in
10.1016/j.triboint.2005.07.020 · 2005 · External reference
On the running-in nature of metallic tribo-components: A review
10.1016/j.wear.2021.203871 · 2021 · External reference
Unresolved reference
External reference
Unresolved reference
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Unsupervised-ensemble-based method for automatic running-in information extraction in reciprocating compressors
10.1016/j.aei.2024.102841 · 2024 · External reference
Vibration Analysis
1992 · External reference
Motor-Current Signature Analysis
1992 · External reference
10.1201/9781420006445
10.1201/9781420006445 · External reference
10.3390/pr9060909
10.3390/pr9060909 · External reference
Long Short-Term Memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
10.1109/ddcls55054.2022.9858505
10.1109/ddcls55054.2022.9858505 · External reference
A review on deep learning based condition monitoring and fault diagnosis of rotating machinery
10.1177/09574565221139638 · 2022 · External reference
A fast and elitist multiobjective genetic algorithm: NSGA-II
10.1109/4235.996017 · 2002 · External reference
Deep learning techniques for predicting nonlinear multi-component seismic responses of structural buildings
10.1016/j.compstruc.2021.106570 · 2021 · External reference
Performance and Computation Time Gains Caused by Sampling Rate Reduction in Time Series Deep Anomaly Detection
10.1007/978-3-031-83885-9_17 · 2025 · External reference
Pearson–Matthews Correlation Coefficients for Binary and Multinary Classification
10.1016/j.sigpro.2024.109511 · 2024 · External reference
Asymptotic Properties of Matthews Correlation Coefficient
10.1002/sim.10303 · 2025 · External reference
The Matthews Correlation Coefficient (MCC) Should Replace the ROC AUC as the Standard Metric for Assessing Binary Classification
10.1186/s13040-023-00322-4 · 2023 · External reference
10.3390/app152212025
10.3390/app152212025 · External reference
Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences
10.1007/s44150-021-00015-8 · 2023 · External reference
