A comprehensive review on convolutional neural network in machine fault diagnosis
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …
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 …
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 …
machine learning techniques. However, the prerequisite that the training data and the test …
Leveraging three-tier deep learning model for environmental cleaner plants production
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 …
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 …
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 …
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 …
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
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 …
encompassing residential and industrial usage. Sectors such as agriculture, civil projects …
Regional-CNN-based enhanced Turkish sign language recognition
Hearing impaired people use sign language for communication. Considering the spoken
languages, the most widely spread ones have their own sign languages. Thus, sign …
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 …
diagnosis, prognosis, and management of the health state of engineering systems. Methods …