Towards a more realistic evaluation of machine learning models for bearing fault diagnosis
Fuente:
arXiv
Saved in:
| Main Authors: | Vieira, João Paulo, Bauler, Victor Afonso, Rosa, Rodrigo Kobashikawa, Silva, Danilo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach
by: Rosa, Rodrigo Kobashikawa, et al.
Published: (2024)
by: Rosa, Rodrigo Kobashikawa, et al.
Published: (2024)
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model
by: Zhou, Maoxuan, et al.
Published: (2024)
by: Zhou, Maoxuan, et al.
Published: (2024)
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise
by: Liao, Jing-Xiao, et al.
Published: (2024)
by: Liao, Jing-Xiao, et al.
Published: (2024)
Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025)
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
Classification of power quality events in the transmission grid: comparative evaluation of different machine learning models
by: Güvengir, Umut, et al.
Published: (2025)
by: Güvengir, Umut, et al.
Published: (2025)
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network
by: Kozlenko, Mykola, et al.
Published: (2025)
by: Kozlenko, Mykola, et al.
Published: (2025)
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review
by: Moutonnet, Nina, et al.
Published: (2024)
by: Moutonnet, Nina, et al.
Published: (2024)
Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations
by: He, Chao, et al.
Published: (2024)
by: He, Chao, et al.
Published: (2024)
Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined algorithm
by: Fang, Jiayan, et al.
Published: (2024)
by: Fang, Jiayan, et al.
Published: (2024)
A multi-dimensional unsupervised machine learning framework for clustering residential heat load profiles
by: Michalakopoulos, Vasilis, et al.
Published: (2024)
by: Michalakopoulos, Vasilis, et al.
Published: (2024)
Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers
by: Hsu, Chi-Ching, et al.
Published: (2025)
by: Hsu, Chi-Ching, et al.
Published: (2025)
Assessment of hybrid machine learning models for non-linear system identification of fatigue test rigs
by: Heindel, Leonhard, et al.
Published: (2021)
by: Heindel, Leonhard, et al.
Published: (2021)
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning
by: Comminiello, Danilo, et al.
Published: (2024)
by: Comminiello, Danilo, et al.
Published: (2024)
eegFloss: A Python package for refining sleep EEG recordings using machine learning models
by: Sikder, Niloy, et al.
Published: (2025)
by: Sikder, Niloy, et al.
Published: (2025)
Bayesian quantum sensing using graybox machine learning
by: Youssry, Akram, et al.
Published: (2026)
by: Youssry, Akram, et al.
Published: (2026)
An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis
by: Chauhan, Sumika, et al.
Published: (2024)
by: Chauhan, Sumika, et al.
Published: (2024)
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators
by: Matos-Carvalho, João Pedro, et al.
Published: (2025)
by: Matos-Carvalho, João Pedro, et al.
Published: (2025)
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
by: Rani, Jyoti, et al.
Published: (2024)
by: Rani, Jyoti, et al.
Published: (2024)
A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification
by: Larsen, Kristoffer, et al.
Published: (2023)
by: Larsen, Kristoffer, et al.
Published: (2023)
Towards transparent and data-driven fault detection in manufacturing: A case study on univariate, discrete time series
by: Hofmann, Bernd, et al.
Published: (2025)
by: Hofmann, Bernd, et al.
Published: (2025)
PHemoNet: A Multimodal Network for Physiological Signals
by: Lopez, Eleonora, et al.
Published: (2024)
by: Lopez, Eleonora, et al.
Published: (2024)
Deep learning model for ECG reconstruction reveals the information content of ECG leads
by: Gradowski, Tomasz, et al.
Published: (2025)
by: Gradowski, Tomasz, et al.
Published: (2025)
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals
by: Almeida, Douglas A., et al.
Published: (2023)
by: Almeida, Douglas A., et al.
Published: (2023)
Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy
by: García-Ponsoda, Sandra, et al.
Published: (2024)
by: García-Ponsoda, Sandra, et al.
Published: (2024)
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
by: Moutonnet, Nina, et al.
Published: (2025)
by: Moutonnet, Nina, et al.
Published: (2025)
SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe
by: Depoortere, Joris, et al.
Published: (2024)
by: Depoortere, Joris, et al.
Published: (2024)
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
by: Wang, Tiezhi, et al.
Published: (2023)
by: Wang, Tiezhi, et al.
Published: (2023)
Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting
by: Curcio, Felipe, et al.
Published: (2025)
by: Curcio, Felipe, et al.
Published: (2025)
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning
by: Miao, Yuyang, et al.
Published: (2023)
by: Miao, Yuyang, et al.
Published: (2023)
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching
by: Meisenbacher, Stefan, et al.
Published: (2024)
by: Meisenbacher, Stefan, et al.
Published: (2024)
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning
by: Malekzadeh, Parvin, et al.
Published: (2023)
by: Malekzadeh, Parvin, et al.
Published: (2023)
An enhanced statistical feature fusion approach using an improved distance evaluation algorithm and weighted K-nearest neighbor for bearing fault diagnosis
by: Chaleshtori, Amir Eshaghi, et al.
Published: (2025)
by: Chaleshtori, Amir Eshaghi, et al.
Published: (2025)
Towards joint graph learning and sampling set selection from data
by: Sridhara, Shashank N., et al.
Published: (2024)
by: Sridhara, Shashank N., et al.
Published: (2024)
PySeizure: A single machine learning classifier framework to detect seizures in diverse datasets
by: Chybowski, Bartlomiej, et al.
Published: (2025)
by: Chybowski, Bartlomiej, et al.
Published: (2025)
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
by: Bolton, Anthony, et al.
Published: (2025)
by: Bolton, Anthony, et al.
Published: (2025)
A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring
by: Nassibi, Amir, et al.
Published: (2025)
by: Nassibi, Amir, et al.
Published: (2025)
Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
by: Tian, Haozhe, et al.
Published: (2025)
by: Tian, Haozhe, et al.
Published: (2025)
MAC protocol classification in the ISM band using machine learning methods
by: Rashidpour, Hanieh, et al.
Published: (2024)
by: Rashidpour, Hanieh, et al.
Published: (2024)
Similar Items
-
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach
by: Rosa, Rodrigo Kobashikawa, et al.
Published: (2024) -
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model
by: Zhou, Maoxuan, et al.
Published: (2024) -
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise
by: Liao, Jing-Xiao, et al.
Published: (2024) -
Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2025) -
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)