Electrical motor current signal analysis using a modified bispectrum for fault diagnosis of downstream mechanical equipment

F Gu, Y Shao, N Hu, A Naid, AD Ball - Mechanical Systems and Signal …, 2011 - Elsevier
This paper presents the use of the induction motor current to identify and quantify common
faults within a two-stage reciprocating compressor based on bispectrum analysis. The …

Multivariate EMD and full spectrum based condition monitoring for rotating machinery

X Zhao, TH Patel, MJ Zuo - Mechanical Systems and Signal Processing, 2012 - Elsevier
Early assessment of machinery health condition is of paramount importance today. A sensor
network with sensors in multiple directions and locations is usually employed for monitoring …

Scale invariant feature extraction algorithm for the automatic diagnosis of rotor asymmetries in induction motors

J Antonino-Daviu, S Aviyente… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
The development of portable devices that make the reliable diagnosis of faults in electric
motors possible has become a challenge for many researchers and maintenance …

[HTML][HTML] A performance evaluation of two bispectrum analysis methods applied to electrical current signals for monitoring induction motor-driven systems

B Huang, G Feng, X Tang, JX Gu, G Xu, R Cattley, F Gu… - Energies, 2019 - mdpi.com
This paper investigates the performance of the conventional bispectrum (CB) method and its
new variant, the modulation signal bispectrum (MSB) method, in analysing the electrical …

Automatic pattern identification based on the complex empirical mode decomposition of the startup current for the diagnosis of rotor asymmetries in asynchronous …

G Georgoulas, IP Tsoumas… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
This paper presents an advanced signal processing method applied to the diagnosis of rotor
asymmetries in asynchronous machines. The approach is based on the application of …

Coupling fault feature extraction method based on bivariate empirical mode decomposition and full spectrum for rotating machinery

R Jia, F Ma, H Wu, X Luo, X Ma - Mathematical Problems in …, 2018 - Wiley Online Library
To accurately extract the fault characteristics of vibration signals of rotating machinery is of
great significance to the unit online monitoring and evaluation. However, because the …

[HTML][HTML] Motor fault diagnosis using higher order statistical analysis of motor power supply parameters

A Alwodai - 2015 - eprints.hud.ac.uk
Motor current signature analysis (MCSA) has been an effective method to monitor electrical
machines for many years, predominantly because of its low instrumentation cost, remote …

Rotor fault detection in inverter drive systems using inverter input current analysis

IP Georgakopoulos, ED Mitronikas… - The XIX International …, 2010 - ieeexplore.ieee.org
Broken rotor bar/end-ring is a common fault in squirrel cage induction motors and has been
thoroughly investigated in the case of AC grid supply. In this paper, this type of fault is …

Rotor fault diagnosis in asynchronous machines via analysis of the start-up transient into intrinsic mode functions

G Georgoulas, I Tsoumas, E Mitronikas… - 2012 XXth …, 2012 - ieeexplore.ieee.org
A novel approach for rotor fault diagnosis during the start-up process is proposed. Rotor
faults create asymmetries that affect the phase currents in a subtle yet distinctive way. The …

Broken bar detection using inverter currents in induction motor drives

I Georgakopoulos, E Mitronikas, A Safacas - SPEEDAM 2010, 2010 - ieeexplore.ieee.org
Rotor electrical faults are common types of faults in squirrel cage induction motors and have
been investigated in detail in steady state condition for grid-connected induction motors. In …