A review of wind turbine bearing condition monitoring: State of the art and challenges
HDM de Azevedo, AM Araújo… - … and Sustainable Energy …, 2016 - Elsevier
Since the early 1980s, wind power technology has experienced an immense growth with
respect to both the turbine size and market share. As the demand for large-scale wind …
respect to both the turbine size and market share. As the demand for large-scale wind …
[HTML][HTML] Online condition monitoring and fault diagnosis in wind turbines: A comprehensive review on structure, failures, health monitoring techniques, and signal …
E Al Lahham, L Kanaan, Z Murad, HM Khalid… - Green Technologies and …, 2024 - Elsevier
Wind energy systems have been flourishing on a rapid scale as a reliable renewable energy
source in several countries. However, as the demand for these systems continues to grow, it …
source in several countries. However, as the demand for these systems continues to grow, it …
Artificial intelligence application in machine condition monitoring and fault diagnosis
YH Ali - Artificial Intelligence: Emerging Trends and …, 2018 - books.google.com
The subject of machine condition monitoring and fault diagnosis as a part of system
maintenance has gained a lot of interest due to the potential benefits to be learned from …
maintenance has gained a lot of interest due to the potential benefits to be learned from …
[HTML][HTML] Observations of changes in acoustic emission parameters for varying corrosion defect in reciprocating compressor valves
Acoustic Emission (AE) technology is probably one of the most recent entries in the field of
machinery condition monitoring. This paper investigates the application of AE parameters for …
machinery condition monitoring. This paper investigates the application of AE parameters for …
Artificial neural network model for monitoring oil film regime in spur gear based on acoustic emission data
YH Ali, R Abd Rahman, RIR Hamzah - Shock and Vibration, 2015 - Wiley Online Library
The thickness of an oil film lubricant can contribute to less gear tooth wear and surface
failure. The purpose of this research is to use artificial neural network (ANN) computational …
failure. The purpose of this research is to use artificial neural network (ANN) computational …
Novel Spiking Neural Network Model for Gear Fault Diagnosis
Gearbox is an important component in machine system. Hence, it is important to predict and
maintain the performance of the gear system, since any unpredictable failure in this system …
maintain the performance of the gear system, since any unpredictable failure in this system …
[PDF][PDF] Acoustic emission and artificial intelligent methods in condition monitoring of rotating machine–a review
Machinery condition monitoring has become one of the essential components in the industry
due to the ability of providing insight to the machine condition during operation as well as …
due to the ability of providing insight to the machine condition during operation as well as …
[PDF][PDF] Regression modeling for spur gear condition monitoring through oil film thickness based on acoustic emission signal
YH Ali, R Abd Rahman, RIR Hamzah - Modern Applied Science, 2015 - researchgate.net
The main purpose of a gear lubricant is to provide adequate oil film thickness to reduce and
prevent gear tooth surface failures. Until now, there is no study in the literature related to the …
prevent gear tooth surface failures. Until now, there is no study in the literature related to the …
Research on Features and Localization of AE Signals from the Mechanical Body of Industrial Robots Based on Wavelet Denoising and EMD
S Dong, M Li, S Gong, J You, M EL-ATTAOUY… - 2024 - researchsquare.com
To reveal the propagation characteristics of acoustic emission (AE) signals within the
mechanical body of an industrial robot, this study extracted the frequency features and wave …
mechanical body of an industrial robot, this study extracted the frequency features and wave …
Frequency Detection and Variation with Smart-Sensor Data Analysis Using Artificial Neural Network and Cloud Computing
A Rath, DK Mishra, SQ Baig, G Devi - Machine Learning for Predictive …, 2020 - Springer
When an electrical machine operates with load current that does not exceed its current
rating, the temperature rise of any part will never exceed the permissible limits, thus …
rating, the temperature rise of any part will never exceed the permissible limits, thus …