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Additive fault diagnosis techniques in rotor systems: a state-of-the-art review
Faults in rotating systems can cause significant damage to the machinery and can result in
downtime and production losses. Hence, the timely detection and diagnosis of faults are …
downtime and production losses. Hence, the timely detection and diagnosis of faults are …
[HTML][HTML] Feature learning for bearing prognostics: A comprehensive review of machine/deep learning methods, challenges, and opportunities
Mechanical bearings are common elements in a wide range of applications, such as wind
turbines and manufacturing. Therefore, bearing prognostics are crucial to preventing …
turbines and manufacturing. Therefore, bearing prognostics are crucial to preventing …
[HTML][HTML] Fault classification in rotor-bearing system using advanced signal processing and machine learning techniques
Tapered roller bearings (TRBs) can handle radial and axial loads effectively, making them
suitable for various applications. However, faults can develop over time, thus affecting the …
suitable for various applications. However, faults can develop over time, thus affecting the …
[HTML][HTML] A CNN-based methodology for identifying mechanical faults in induction motors using thermography
Infrared thermography (IRT) has become an interesting alternative for performing condition
assessments of different types of induction motor (IM)-based equipment when it operates …
assessments of different types of induction motor (IM)-based equipment when it operates …
Nonlinear vibration analysis of rotor-bearing system with insufficient interference and bearing tilt
X Ma, Z Li, J **ang, X Sun, C Chen, F Huang - International Journal of …, 2025 - Elsevier
Rotor-bearing systems featured by interference fit are widespread application in aerospace,
automobile, and other industrial fields. Due to the assembly errors and severe operation …
automobile, and other industrial fields. Due to the assembly errors and severe operation …
Identification of Tajweed Recognition using Wavelet Packet Adaptive Network based on Fuzzy Inference Systems (WPANFIS)
This research aims to develop a system capable of processing voice input to recognize Al-
Quran reading by recitation of Tajwid, using wavelet signal extraction and classification of …
Quran reading by recitation of Tajwid, using wavelet signal extraction and classification of …
A fast prediction method for the target reachable zone of boosting gliding vehicle based on database
Q Huang, Z Deng, L Liu - Applied Sciences, 2023 - mdpi.com
Featured Application The method proposed can be used for target reachable zone
prediction of boosting gliding vehicle. Abstract This paper presents an effective method for …
prediction of boosting gliding vehicle. Abstract This paper presents an effective method for …
Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System's Load Frequency Regulation
N Nireekshana, R Ramachandran… - E3S Web of …, 2024 - e3s-conferences.org
The main objective of Load Frequency Control (LFC) is to effectively manage the power
output of an electric generator at a designated site, in order to maintain system frequency …
output of an electric generator at a designated site, in order to maintain system frequency …
[PDF][PDF] Tooth Base Geometrical Variability Effect on the Vibration Behavior of the Stator
The magnetic pressure generated in the stator of electric machines can be a significant
source of noise and vibration. The vibration behavior of the stator and such mechanical …
source of noise and vibration. The vibration behavior of the stator and such mechanical …