Vibration-based diagnostics of epicyclic gearboxes–From classical to soft-computing methods
The paper presents up-to-date multidisciplinary review of scientific knowledge and industrial
guidelines concerning the issue of technical assessment of epicyclic gearboxes on the basis …
guidelines concerning the issue of technical assessment of epicyclic gearboxes on the basis …
[HTML][HTML] Novelty detection approach for the monitoring of structural vibrations using vision-based mean frequency maps
J Spytek, A Machynia, K Dziedziech… - … Systems and Signal …, 2023 - Elsevier
Damage detection is an important part of modern-day engineering. Early damage detection
is facilitated by Structural Health Monitoring methods, which may be employed using …
is facilitated by Structural Health Monitoring methods, which may be employed using …
Comparison of novelty detection methods for detection of various rotary machinery faults
J Górski, A Jabłoński, M Heesch, M Dziendzikowski… - Sensors, 2021 - mdpi.com
Condition monitoring is an indispensable element related to the operation of rotating
machinery. In this article, the monitoring system for the parallel gearbox was proposed. The …
machinery. In this article, the monitoring system for the parallel gearbox was proposed. The …
[HTML][HTML] An anomaly detection method for rotating machinery monitoring based on the most representative data
A Lis, Z Dworakowski, P Czubak - Journal of Vibroengineering, 2021 - extrica.com
With the development of concepts of industry 4.0, condition monitoring techniques are
changing. Large amounts of generated data require diagnostic procedures to be automated …
changing. Large amounts of generated data require diagnostic procedures to be automated …
A hybrid finite element method–analytical model for classifying the effects of cracks on gear train systems using artificial neural networks
R de Paula Monteiro, A Lucatto Marra, R Vidoni… - Applied Sciences, 2022 - mdpi.com
Rotating machinery is fundamental in industry, gearboxes especially. However, failures may
occur in their transmission components due to regular usage over long periods of time, even …
occur in their transmission components due to regular usage over long periods of time, even …
A hybrid approach for fault diagnosis of spur gears using Hu invariant moments and artificial neural networks
Achieving a reliable fault diagnosis for gears under variable operating conditions is a
pressing need of industries to ensure productivity by averting unwanted breakdowns. In the …
pressing need of industries to ensure productivity by averting unwanted breakdowns. In the …
[PDF][PDF] Automatic identification of malfunctions of large turbomachinery during transient states with genetic algorithm optimization
T Barszcz, M Zabaryłło - Metrology and Measurement Systems, 2022 - bibliotekanauki.pl
Turbines and generators operating in the power generation industry are a major source of
electrical energy worldwide. These are critical machines and their malfunctions should be …
electrical energy worldwide. These are critical machines and their malfunctions should be …
A Vibration Novelty Index Model for Industrial Gearboxes: Applying machine learning to condition monitoring
J Peltomaa - 2021 - trepo.tuni.fi
Collecting vibration data from industrial gearboxes is straightforward with modern IoT
systems. However, it is difficult to present the data in such a way that someone who is not a …
systems. However, it is difficult to present the data in such a way that someone who is not a …