Edge analytics for bearing fault diagnosis based on convolution neural network

V Perminov, V Ermakov, D Korzun - Fuzzy Systems and Data …, 2021 - ebooks.iospress.nl
Advanced technologies of Sensorics and Internet of Things (IoT) enable real-time data
analytics based on multiple sensors covering the target industrial production system and its …

AC-SNGAN: Multi-class data augmentation for damage detection of conveyor belt surface using improved ACGAN

G Wang, Z Yang, H Sun, Q Zhou, Z Yang - Measurement, 2024 - Elsevier
The current method for detecting surface damage on conveyor belts requires a lengthy
training and deployment period, and its performance is limited by the size of the data set …

Identification of selected failures in a pipe conveyor's operation with the use of the discrimination method based on continuous measurement

V Molnár, G Fedorko, B Stehlíková, P Michalik… - Applied Sciences, 2023 - mdpi.com
This paper deals with research on the operational process monitoring of a pipe conveyor for
the needs of online diagnostics. The aim of this research is to verify the possibility of …

Deep learning approach at the edge to detect iron ore type

E Klippel, AGC Bianchi, S Delabrida, MC Silva… - Sensors, 2021 - mdpi.com
There is a constant risk of iron ore collapsing during its transfer between processing stages
in beneficiation plants. Existing instrumentation is not only expensive but also complex and …

Study on fault diagnosis method for the tail rope of a hoisting system based on machine vision

X Zhang, G Meng, A Wang, W Cui… - Advances in …, 2022 - journals.sagepub.com
Healthy operation of the tail rope is crucial to the stable and safe operation of a friction
hoisting system. Failure of the tail rope will threaten the property and personnel. In this study …

[引用][C] Deep Learning e Device Edge na implementação de detetor de rasgo de correia transportadora de minério de ferro.

E Klippel - 2021