Statistical techniques in power systems fault diagnostic: Classifications, challenges, and strategic recommendations
AR Abbasi - Electric Power Systems Research, 2025 - Elsevier
Early fault diagnosis is crucial not only for ensuring the safety and efficiency of power
systems but also for averting catastrophic failures and substantial economic losses …
systems but also for averting catastrophic failures and substantial economic losses …
[PDF][PDF] Automated Wind Turbines Gearbox Condition Monitoring: A Comparative Study of Machine Learning Techniques Based on Vibration Analysis.
AA Farhan Ogaili, KA Mohammed, AA Jaber… - FME …, 2024 - researchgate.net
Wind turbines play a role in the adoption of renewable energy production, but they are
susceptible to shutdowns that require thorough monitoring. Gearbox failures are an issue …
susceptible to shutdowns that require thorough monitoring. Gearbox failures are an issue …
Composite fault diagnosis of gearbox based on deep graph residual convolutional network
B Fan, C Liu, G Chang, F He, T Liu - Engineering Research …, 2024 - iopscience.iop.org
In gearbox systems, a composite fault diagnosis resulting from mutual interference among
different components poses a significant challenge. The traditional composite fault diagnosis …
different components poses a significant challenge. The traditional composite fault diagnosis …
Dynamic potential stochastic resonance for weak signal detection
P Zong, R An, H Wang, J He, C Zhang - Physica Scripta, 2024 - iopscience.iop.org
To suppress the low-frequency interference noise, a dynamic potential stochastic resonance
(DPSR) model is proposed in this paper for weak signal detection. The DPSR model …
(DPSR) model is proposed in this paper for weak signal detection. The DPSR model …
Deep learning-based fuzzy decision support system-based fault diagnosis of wind turbine generators in electrical machines
W Pang, K Xu, Q Wu, C Wang, J Li, N Yin - Electrical Engineering, 2024 - Springer
Precise monitoring and diagnosis outwit the faults in generator rotors, preventing
malfunction and resurrections. This article, therefore, introduces a hybrid decision support …
malfunction and resurrections. This article, therefore, introduces a hybrid decision support …
Review of vibration-based damage assessment in wind turbines
A Abdullah - 2024 - webthesis.biblio.polito.it
Wind turbines play Important part in the worldwide transition to renewable energy, but, at the
same time, their long-term operation and reliability are threatened by mechanical and …
same time, their long-term operation and reliability are threatened by mechanical and …
Vibration based condition monitoring of spur gear using signal processing and machine learning
BST Alkahtani, MK Gangwar, C Nayak - 2024 - researchsquare.com
The objective of this work is to diagnose the fault of spur gear based on vibration analysis
using signal processing techniques and machine learning (ML) algorithms. This paper …
using signal processing techniques and machine learning (ML) algorithms. This paper …