An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network

W Sun, B Yao, N Zeng, B Chen, Y He, X Cao, W He - Materials, 2017 - mdpi.com
As a typical example of large and complex mechanical systems, rotating machinery is prone
to diversified sorts of mechanical faults. Among these faults, one of the prominent causes of …

Noncontact surface roughness estimation using 2D complex wavelet enhanced ResNet for intelligent evaluation of milled metal surface quality

W Sun, B Yao, B Chen, Y He, X Cao, T Zhou, H Liu - Applied Sciences, 2018 - mdpi.com
Machined surfaces are rough from a microscopic perspective no matter how finely they are
finished. Surface roughness is an important factor to consider during production quality …

Neural network-based diagnostic tool for detecting stator inter-turn faults in line start permanent magnet synchronous motors

LS Maraaba, ZM Al-Hamouz, AS Milhem… - IEEE Access, 2019 - ieeexplore.ieee.org
Three-phase line-start permanent magnet synchronous motors are considered among the
most promising types of motors in industrial applications. However, these motors experience …

Analysis of stator inter-turn short-circuit fault signatures for inverter-fed permanent magnet synchronous motors

F Çira, M Arkan, B Gümüş… - IECON 2016-42nd Annual …, 2016 - ieeexplore.ieee.org
It is quite important to detect stator short-circuit fault, which is the most common fault type, at
incipient stage. It is possible to carry out fault detection using Motor Current Signature …

Imitation modeling of an inter-turn short circuit of an asynchronous motor stator winding for diagnostics of auxiliary electric drives of transport infrastructure

S Goolak, J Gerlici, O Gubarevych, T Lack… - … -Scientific letters of the …, 2021 - ceeol.com
A scientific approach to calculating the parameters and characteristics of an asynchronous
motor in the inter-turn short circuit mode in one phase of the stator is proposed to create the …

A new approach based on electromechanical torque for detection of inter-turn fault in permanent magnet synchronous motor

T Lale, B Gümüş - Electric Power Components and Systems, 2022 - Taylor & Francis
Fault detection is an important issue for permanent magnet synchronous motors (PMSMs). In
the initial stage, it is very crucial to detect stator winding inter-turn short-circuit failure, which …

Predictive diagnosis with artificial neural network for automated electric vehicle

A Kilic - Journal of the Brazilian Society of Mechanical Sciences …, 2022 - Springer
The requirements and availability of the electric powertrain will be significantly increased
with the introduction of automated driving functions. In this case, the mechanical fallback …

An accurate tool for detecting stator inter-turn fault in LSPMSM

LS Maraaba, ZM Al-Hamouz, MA Abido - IEEE Access, 2019 - ieeexplore.ieee.org
This paper proposes an accurate diagnosing tool that can predict the stator inter-turn size in
line start permanent magnetic synchronous motor (LSPMSM). The proposed diagnosing …

[PDF][PDF] Faults diagnosis in stator windings of high speed solid rotor induction motors using fuzzy neural network

AT Radhi, WH Zayer - … Journal of Power Electronics and Drive …, 2021 - researchgate.net
The paper deals with faults diagnosis method proposed to detect the interturn and turn to
earth short circuit in stator winding of three-phase highspeed solid rotor induction motors …

An effective torque-based method for automatic turn fault detection and turn fault severity classification in permanent magnet synchronous motor

T Lale, B Gümüş - Electrical Engineering, 2024 - Springer
This article presents a novel approach based on the electromechanical torque signal for the
inter-turn short-circuit fault (ISCF) detection and the ISCF severity estimation in permanent …