Navigating industry 5.0: A survey of key enabling technologies, trends, challenges, and opportunities

R Tallat, A Hawbani, X Wang… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …

Fault diagnosis and self-healing for smart manufacturing: a review

J Aldrini, I Chihi, L Sidhom - Journal of Intelligent Manufacturing, 2024 - Springer
Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …

Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform

S Tang, Y Zhu, S Yuan - Reliability Engineering & System Safety, 2022 - Elsevier
Hydraulic piston pump is known as one of the most critical parts in a typical hydraulic
transmission system. It is imperative to probe into an accurate fault diagnosis method to …

Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost

C Zhang, D Hu, T Yang - Reliability Engineering & System Safety, 2022 - Elsevier
An anomaly detection and diagnosis method for wind turbines using long short-term memory-
based stacked denoising autoencoders (LSTM-SDAE) and extreme gradient boosting …

Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization

Y Zhu, G Li, R Wang, S Tang, H Su, K Cao - Applied Acoustics, 2021 - Elsevier
The hydraulic axial piston pump is the power heart of the hydraulic transmission system in
aerospace equipment and industrial filed. Its stable operation will directly affect the safety …

Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions

Y Xu, X Yan, B Sun, Z Liu - Reliability Engineering & System Safety, 2022 - Elsevier
Convolutional neural networks, with a powerful ability for feature representation, have made
vast inroads into motor fault diagnosis. However, most of the existing CNN models cannot …

Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers

K Koc, Ö Ekmekcioğlu, AP Gurgun - Automation in Construction, 2021 - Elsevier
The construction industry is among the riskiest industries around the world. Hence, the
preliminary studies exploring the consequences of occupational accidents have received …

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals

ESA El-Dahshan, MM Bassiouni, SK Khare… - Expert Systems with …, 2024 - Elsevier
Background Hypertension is a crucial health indicator because it provides subtle details
about a patient's cardiac health. Photoplethysmography (PPG) signals are a critical …

[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review

U Saeed, SY Shah, J Ahmad, MA Imran… - Journal of …, 2022 - Elsevier
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …

Semi-supervised multivariate time series anomaly detection for wind turbines using generator SCADA data

M Zheng, J Man, D Wang, Y Chen, Q Li, Y Liu - Reliability Engineering & …, 2023 - Elsevier
The maintenance cost and unplanned downtime caused by faults are an important part of
the operation cost of wind turbines. Supervisory control and data acquisition (SCADA) data …