Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

[PDF][PDF] A review of intelligent methods for condition monitoring and fault diagnosis of stator and rotor faults of induction machines.

O Alshorman, A Alshorman - International Journal of …, 2021 - pdfs.semanticscholar.org
Nowadays, induction motor (IM) is extensively used in industry, including mechanical and
electrical applications. However, three main types of IM faults have been discussed in the …

A novel wind turbine fault diagnosis method based on compressive sensing and lightweight SqueezeNet model

T Jian, J Cao, W Liu, G Xu, J Zhong - Expert Systems with Applications, 2025 - Elsevier
The fault diagnosis method based on model and signal processing has some problems,
such as difficulty in modeling and difficulty in extracting signal features; As the depth of the …

Smart monitoring of manufacturing systems for automated decision-making: A multi-method framework

CY Cheng, P Pourhejazy, CY Hung, C Yuangyai - Sensors, 2021 - mdpi.com
Smart monitoring plays a principal role in the intelligent automation of manufacturing
systems. Advanced data collection technologies, like sensors, have been widely used to …

On the peak-to-average power ratio of vibration signals: Analysis and signal companding for an efficient remote vibration-based condition monitoring

S Aburakhia, A Shami - arXiv preprint arXiv:2310.01718, 2023 - arxiv.org
Vibration-based condition monitoring (VBCM) is widely utilized in various applications due
to its non-destructive nature. Recent advancements in sensor technology, the Internet of …

Membership inference attacks against compression models

Y Jin, W Lou, Y Gao - Computing, 2023 - Springer
With the rapid development of artificial intelligence, privacy threats are already getting the
spotlight. One of the most common privacy threats is the membership inference attack (MIA) …

Modeling Product Manufacturing Reliability with Quality Variations Centered on the Multilayered Coupling Operational Characteristics of Intelligent Manufacturing …

A Zhang, Y He, X Han, Y Li, X Yang, Z Zhang - Sensors, 2020 - mdpi.com
For intelligent manufacturing systems, there are many deviations in operational
characteristics, and the coupling effect of harmful operational characteristics leads to the …

Laplacian scores-based feature reduction in IoT systems for agricultural monitoring and decision-making support

G Tsapparellas, N Jin, X Dai, G Fehringer - Sensors, 2020 - mdpi.com
Internet of things (IoT) systems generate a large volume of data all the time. How to choose
and transfer which data are essential for decision-making is a challenge. This is especially …

Winding Tensor Approach for the Analytical Computation of the Inductance Matrix in Eccentric Induction Machines

J Martinez-Roman, R Puche-Panadero… - Sensors, 2020 - mdpi.com
Induction machines (IMs) are critical components of many industrial processes, what justifies
the use of condition-based maintenance (CBM) systems for detecting their faults at an early …

Aplicação da técnica BoVW para identificar falhas em máquinas rotativas a partir de imagens termográficas de baixa resolução

ET Lins - 2021 - ri.ufs.br
This master thesis aims to describe the implementation of a fault detection strategy in
rotating machines using infrared thermography. It was based on images acquired with a low …