Adaptable and explainable predictive maintenance: Semi-supervised deep learning for anomaly detection and diagnosis in press machine data
O Serradilla, E Zugasti, J Ramirez de Okariz… - Applied Sciences, 2021 - mdpi.com
Featured Application Deep learning-based predictive maintenance on press machine
production data, addressing adaptability, novelty detection, and diagnosis requirements. It …
production data, addressing adaptability, novelty detection, and diagnosis requirements. It …
A novel method for fault diagnosis of bearings with small and imbalanced data based on generative adversarial networks
The data-driven intelligent fault diagnosis method of rolling bearings has strict requirements
regarding the number and balance of fault samples. However, in practical engineering …
regarding the number and balance of fault samples. However, in practical engineering …
Generative adversarial networks for data augmentation
A Biswas, N Md Abdullah Al, A Imran, AT Sejuty… - Data Driven Approaches …, 2023 - Springer
One way to expand the available dataset for training AI models in the medical field is
through the use of Generative Adversarial Networks (GANs) for data augmentation. GANs …
through the use of Generative Adversarial Networks (GANs) for data augmentation. GANs …
Generative Adversarial Network-Based Data Augmentation for Enhancing Wireless Physical Layer Authentication
L Alhoraibi, D Alghazzawi, R Alhebshi - Sensors, 2024 - mdpi.com
Wireless physical layer authentication has emerged as a promising approach to wireless
security. The topic of wireless node classification and recognition has experienced …
security. The topic of wireless node classification and recognition has experienced …
Self-supervised learning for time-series anomaly detection in Industrial Internet of Things
Industrial sensors have presently emerged as a very important device for monitoring
environmental conditions in the manufacturing system. However, abnormal behavior of …
environmental conditions in the manufacturing system. However, abnormal behavior of …
GAN-based data augmentation for UWB NLOS identification using machine learning
DH Tran, BD Chung, YM Jang - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Indoor position system based on ultra-wideband technology was recognized recently as its
great potential to guarantee accurate localization. Non-line-of-sight identification attracts lots …
great potential to guarantee accurate localization. Non-line-of-sight identification attracts lots …
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Recent advancements in sensing, measurement, and computing technologies have
significantly expanded the potential for signal-based applications, leveraging the synergy …
significantly expanded the potential for signal-based applications, leveraging the synergy …
Improving Time Series Regression Model Accuracy via Systematic Training Dataset Augmentation and Sampling
R Ströbel, M Mau, A Puchta, J Fleischer - Machine Learning and …, 2024 - mdpi.com
This study addresses a significant gap in the field of time series regression modeling by
highlighting the central role of data augmentation in improving model accuracy. The primary …
highlighting the central role of data augmentation in improving model accuracy. The primary …
An improved sensor anomaly detection method in iot system using federated learning
DH Tran, IBKY Utama, YM Jang - … Conference on Ubiquitous …, 2022 - ieeexplore.ieee.org
The industrial sensor has emerged as a critical device to monitor environment condition in
the manufacturing system. However, abnormal behaviors of these smart sensor may indicate …
the manufacturing system. However, abnormal behaviors of these smart sensor may indicate …
Research on vibration-based early diagnostic system for excavator motor bearing using 1-D CNN
D Yandagsuren, T Kurauchi, H Toriya… - … of Sustainable Mining, 2023 - air.repo.nii.ac.jp
In mining, super-large machines such as rope excavators are used to perform the main
mining operations. A rope excavator is equipped with motors that drive mechanisms. Motors …
mining operations. A rope excavator is equipped with motors that drive mechanisms. Motors …