A time-domain fault detection method based on an electrical machine stator current measurement for planetary gear-sets

2013 ◽  
Author(s):  
Liu Hong ◽  
Jaspreet Singh Dhupia
Keyword(s):  
Fault Detection ◽  
Time Domain ◽  
Detection Method ◽  
Planetary Gear ◽  
Current Measurement ◽  
Electrical Machine ◽  
Stator Current ◽  
Planetary Gear Sets

A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions

2019 ◽  
Vol 117 ◽  
pp. 347-360 ◽  
Author(s):  
Jungho Park ◽  
Moussa Hamadache ◽  
Jong M. Ha ◽  
Yunhan Kim ◽  
Kyumin Na ◽  
...  
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Planetary Gear ◽  
Positive Energy ◽  
Variable Speed ◽  
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

Application of Vibration Analysis in Ball Bearing Fault Detection

2005 ◽  
Author(s):  
F. Bakhtiary-Nejad ◽  
A. H. Nayeb ◽  
S. E. Yeganeh
Keyword(s):  
Fault Detection ◽  
Computer Program ◽  
Time Domain ◽  
Vibration Analysis ◽  
Ball Bearing ◽  
Detection Method ◽  
Ball Bearings ◽  
Test Results ◽  
Localized Defects ◽  
Set Up

In this paper, existence of localized defects in a ball bearing has been diagnosed using vibration analysis. First, different kinds of faults which occur in ball bearings have been investigated. Then an analytical model has been proposed for determining the damaged ball bearing vibrations due to a localized defect. Also various methods of fault detection have been evaluated. Next, in order to examine the ball bearings, a testing set-up has been designed and constructed. Then by preparing a computer program, which calculates defect frequencies, some ball bearings have been tested. The test results were originally derived in time-domain. Then by using vibration analysis of healthy and damaged ball bearings in frequency-domain, a fault detection method for ball bearings has been proposed.

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