Fault Index Statistical Study for Gear Fault Detection Using Stator Current Space Vector Analysis

2016 ◽  
Vol 52 (6) ◽  
pp. 4781-4788 ◽  
Author(s):  
Shahin Hedayati Kia ◽  
Humberto Henao ◽  
Gerard-Andre Capolino
Keyword(s):  
Fault Detection ◽  
Statistical Study ◽  
Vector Analysis ◽  
Space Vector ◽  
Stator Current ◽  
Gear Fault

scholarly journals Research on the Electromagnetic Conversion Method of Stator Current for Local Fault Detection of a Planetary Gearbox

Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 277
Author(s):  
Xiangyang Xu ◽  
Guanrui Liu ◽  
Xihui Liang
Keyword(s):  
Fault Detection ◽  
Planetary Gear ◽  
Magnetomotive Force ◽  
Planetary Gearbox ◽  
Transfer Path ◽  
Stator Current ◽  
Motor Current ◽  
Gear Fault ◽  
Motor Current Signature Analysis ◽  
Signal Processing Methods

Motor current signature analysis (MCSA) is a useful technique for planetary gear fault detection. Motor current signals have easier accessibility and are free from time-varying transfer path effects. If the fault symptoms in current signals are well understood, it will be more beneficial to develop effective current signal processing methods. Some researchers have developed mathematical models to study the characteristics of current signals. However, no one has considered the coupling of rotor eccentricity and gear failures, resulting in an inaccurate analysis of the current signals. This study considers the sun gear failure of a planetary gearbox and the eccentricity of the motor rotor. An improved induction motor model is proposed based on the magnetomotive force (MMF) to simulate the stator current. By analyzing the current, the modulation relationships of gearbox meshing frequency, fault frequency, power supply frequency, and gear rotating frequency are obtained. The proposed model is validated to some extent using experimental data.

Planetary Gear Fault Detection Based on Mechanical Torque and Stator Current Signatures of a Wound Rotor Induction Generator

2018 ◽  
Vol 33 (3) ◽  
pp. 1072-1085 ◽  
Author(s):  
Mohammad Hoseintabar Marzebali ◽  
Jawad Faiz ◽  
Gerard-Andre Capolino ◽  
Shahin Hedayati Kia ◽  
Humberto Henao
Keyword(s):  
Fault Detection ◽  
Planetary Gear ◽  
Induction Generator ◽  
Stator Current ◽  
Gear Fault ◽  
Current Signatures

scholarly journals A Parameter Independent Stator Current Space-Vector Reference Frame-Based Sensorless IPMSM Drive Using Sliding Mode Control

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2365
Author(s):  
Mohammadreza Moradian ◽  
Jafar Soltani ◽  
Mohamed Benbouzid ◽  
Abbas Najjar-Khodabakhsh
Keyword(s):  
Sliding Mode Control ◽  
Reference Frame ◽  
Sliding Mode ◽  
Rotor Speed ◽  
Space Vector ◽  
Stator Current ◽  
Mode Control ◽  
Control Scheme ◽  
Stator Flux ◽  
Stator Resistance

In this paper, a sliding mode control is presented for direct torque and stator flux control of interior permanent magnet synchronous motor in a rotor speed sensorless drive system. The control scheme is developed in a specific synchronous rotating reference frame (X-Y) in which the stator current space vector coincides with the direct (X) axis. For this control technique no need to have any knowledge of machine parameters such as stator two-axis inductances, rotor permanent magnets flux linkage, and even the rotor initial position. However, the on-line actual stator resistance value is required to estimate the stator flux components in the stator stationary two-axis reference frame. In this control strategy, two simple methods are described for estimating the rotor speed and stator resistance. Some simulation and experimental results are presented to support the validity and effectiveness of the proposed control scheme.

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