Vibration feature extraction using signal processing techniques for structural health monitoring: A review

C Zhang, AA Mousavi, SF Masri, G Gholipour… - … Systems and Signal …, 2022 - Elsevier
Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …

Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review

P Gangsar, R Tiwari - Mechanical systems and signal processing, 2020 - Elsevier
Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

[HTML][HTML] A review on rolling bearing fault signal detection methods based on different sensors

G Wu, T Yan, G Yang, H Chai, C Cao - Sensors, 2022 - mdpi.com
As a precision mechanical component to reduce friction between components, the rolling
bearing is widely used in many fields because of its slight friction loss, strong bearing …

EEMD-based notch filter for induction machine bearing faults detection

Y Amirat, MEH Benbouzid, T Wang, K Bacha, G Feld - Applied Acoustics, 2018 - Elsevier
This paper deals with induction machine bearing faults detection based on an empirical
mode decomposition approach combined to a statistical tool. In particular, it is proposed an …

Uncertainty-weighted domain generalization for remaining useful life prediction of rolling bearings under unseen conditions

S Tong, Y Han, X Zhang, H Tian, X Li… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Domain adaptation (DA) methods are widely used in rolling bearing remaining useful life
(RUL) prediction to align source and target domains. However, DA relies on previously …

Broken rotor bar fault diagnosis using fast Fourier transform applied to field-oriented control induction machine: simulation and experimental study

T Ameid, A Menacer, H Talhaoui, I Harzelli - The International Journal of …, 2017 - Springer
In the paper, a fault diagnosis of the induction motor (IM) at closed loop is presented, and the
fault considered in the machine is the adjacent broken rotor bars. The technique of control …

[HTML][HTML] Bearing faults diagnosis by current envelope analysis under direct torque control based on neural networks and fuzzy logic—a comparative study

A El Idrissi, A Derouich, S Mahfoud, N El Ouanjli… - Electronics, 2024 - mdpi.com
Diagnosing bearing defects (BFs) in squirrel cage induction machines (SCIMs) is essential
to ensure their proper functioning and avoid costly breakdowns. This paper presents an …

[Retracted] Music Recommendation Algorithm Based on Multidimensional Time‐Series Model Analysis

J Shi - Complexity, 2021 - Wiley Online Library
This paper proposes a personalized music recommendation method based on
multidimensional time‐series analysis, which can improve the effect of music …

Bearing fault detection in asd-powered induction machine using modwt and image edge detection

V Aviña-Corral, J de Jesus Rangel-Magdaleno… - IEEE …, 2022 - ieeexplore.ieee.org
Today the industry depends on various types of three-phase induction machines, requiring
operating at variable speeds to perform more complex processes. Therefore, it is vital to …

[HTML][HTML] Fault diagnosis of induction machines in a transient regime using current sensors with an optimized slepian window

J Burriel-Valencia, R Puche-Panadero… - Sensors, 2018 - mdpi.com
The aim of this paper is to introduce a new methodology for the fault diagnosis of induction
machines working in the transient regime, when time-frequency analysis tools are used. The …