A comprehensive review on convolutional neural network in machine fault diagnosis

J Jiao, M Zhao, J Lin, K Liang - Neurocomputing, 2020 - Elsevier
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …

Critical wind turbine components prognostics: A comprehensive review

M Rezamand, M Kordestani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …

Cross-domain fault diagnosis using knowledge transfer strategy: A review

H Zheng, R Wang, Y Yang, J Yin, Y Li, Y Li, M Xu - Ieee Access, 2019 - ieeexplore.ieee.org
Data-driven fault diagnosis has been a hot topic in recent years with the development of
machine learning techniques. However, the prerequisite that the training data and the test …

Leveraging three-tier deep learning model for environmental cleaner plants production

Z Tarek, M Elhoseny, MI Alghamdi, IM El-Hasnony - Scientific Reports, 2023 - nature.com
The world's population is expected to exceed 9 billion people by 2050, necessitating a 70%
increase in agricultural output and food production to meet the demand. Due to resource …

Vibration analysis in bearings for failure prevention using CNN

LA Pinedo-Sanchez, DA Mercado-Ravell… - Journal of the Brazilian …, 2020 - Springer
Timely failure detection for bearings is of great importance to prevent economic losses in the
industry. In this article we propose a method based on Convolutional Neural Networks …

Health indicator for low-speed axial bearings using variational autoencoders

M Hemmer, A Klausen, H Van Khang… - IEEE …, 2020 - ieeexplore.ieee.org
This paper proposes a method for calculating a health indicator (HI) for low-speed axial
rolling element bearing (REB) health assessment by utilizing the latent representation …

Condition monitoring of ball bearings based on machine learning with synthetically generated data

M Kahr, G Kovács, M Loinig, H Brückl - Sensors, 2022 - mdpi.com
Rolling element bearing faults significantly contribute to overall machine failures, which
demand different strategies for condition monitoring and failure detection. Recent …

Fault diagnosis of monoblock centrifugal pumps using pre-trained deep learning models and scalogram images

CV Prasshanth, SN Venkatesh, TK Mahanta… - … Applications of Artificial …, 2024 - Elsevier
The monoblock centrifugal pump (MCP) is widely utilized in a diverse range of applications
encompassing residential and industrial usage. Sectors such as agriculture, civil projects …

Regional-CNN-based enhanced Turkish sign language recognition

T Yirtici, K Yurtkan - Signal, Image and Video Processing, 2022 - Springer
Hearing impaired people use sign language for communication. Considering the spoken
languages, the most widely spread ones have their own sign languages. Thus, sign …

Using data from similar systems for data-driven condition diagnosis and prognosis of engineering systems: A review and an outline of future research challenges

M Braig, P Zeiler - IEEE Access, 2022 - ieeexplore.ieee.org
Prognostics and health management (PHM) is an engineering approach dealing with the
diagnosis, prognosis, and management of the health state of engineering systems. Methods …