Edge computing on IoT for machine signal processing and fault diagnosis: A review

S Lu, J Lu, K An, X Wang, Q He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

A high-performance rolling bearing fault diagnosis method based on adaptive feature mode decomposition and Transformer

J Lv, Q Xiao, X Zhai, W Shi - Applied Acoustics, 2024 - Elsevier
The fault diagnosis problems of rolling bearings commonly found in modern industrial
equipment are becoming increasingly complex and challenging, and traditional fault …

Analysis of inter-turn short-circuit faults in brushless DC motors based on magnetic leakage flux and back propagation neural network

W Cao, R Huang, H Wang, S Lu, Y Hu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Inter-turn short-circuit (ITSC) faults are the most common fault types of brushless DC (BLDC)
motors used in industry. Fault diagnosis of BLDC motors is of critical importance due to their …

Diagnosis of Inter-Turn Short Circuit Fault in BLDCM Based on Coupled High-Frequency Signal Injection

H Wang, Z Wu, F Zhou, W Cao, C Hu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Brushless dc motors (BLDCMs) are a key technology for electric vehicles (EVs) as they
exhibit excellent performance in terms of high efficiency and controllability. However, their …

Investigations on brushless DC motors for automotive systems

S Prabhu, V Arun, M Balaji… - … on Electrical Energy …, 2023 - ieeexplore.ieee.org
This study compares and contrasts three different types of BLDC motor: bread-loaf with two
nonembedded magnets, bread-loaf with four non-embedded magnets, and spoke with …

Analytical Calculation of Stray Magnetic Field in Interior Permanent Magnet Synchronous Motor Under Static Eccentricity Considering Nonlinear and Non-uniform …

H Cui, C Ma, Y Wang, X Li, Y He… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Nonlinear magnetic saturation occurs in the rotor magnetic bridge area because of the
complex rotor structure in the interior permanent magnet synchronous motor (IPMSM). And …

Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction

X Wang, S Zhang, J Song, Y Liu, S Lu - Engineering Applications of …, 2023 - Elsevier
Magnetic field measurement technologies are extensively applied in nondestructive testing,
quality inspection, and fault diagnosis of machines and equipment. Magnetic signals are …

A Digital Twin System for Two-Stage PMSM Rotor and Bearing Faults Identification Based on Deep Learning and Improved-RGB Acoustic Image

B Du, W Huang, T Li, R Hu, Y Cheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article proposes a diagnosis method for six types of rotor and bearing faults of
permanent magnet synchronous motor based on acoustic signals, and builds a digital twin …

Automatic Classification of Field Winding Faults in Synchronous Motors based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals

MEI Martínez, JG Carmenate… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this work, the application of the bicoherence (a squared normalized version of the
bispectrum) of the stray flux signal is proposed as a way of detecting faults in the field …

Condition Monitoring of Rotating Diodes in Synchronous Machines through the Exciter Stray Flux Analysis

P Tian, JM Guerrero, CA Platero, SB Lee… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Brushless excitation systems have many advantages mainly related to the low maintenance.
A failure in the rotating diodes leads to an increase in the exciter field current and an …