Low-Cost Diagnosis of Rotor Asymmetries in Induction Machines Working at a Very Low Slip Using the Reduced Envelope of the Stator Current
- 6 July 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Energy Conversion
- Vol. 30 (4) , 1409-1419
Abstract
Fault diagnosis of rotor asymmetries in induction machines working at a very low slip, through Fourier-based methods, usually requires a long acquisition time to achieve a high spectral resolution and a high sampling frequency to reduce aliasing effects. However, this approach generates a huge amount of data, which makes its implementation difficult using embedded devices with small internal memory, such as digital signal processors and field programmable gate arrays or devices with low computing power. In this paper, a new simplified diagnostic signal designated as the reduced envelope of the stator current is introduced to address this problem. The reduced envelope signal is built using only one sample of the current per cycle without any further processing, and it is demonstrated that it carries the same spectral information about the fault as the full-length current signal. Based on this approach, an embedded device has only to store and process a minimal set of samples compared with the raw current signal for a desired resolution. In this paper, the theoretical basis of the proposed method is presented, as well as its experimental validation using two different motors with broken bars: 1) a high-power induction motor working in a factory; and 2) a low-power induction motor mounted in a laboratory test bed.Keywords
Funding Information
- Spanish “Ministerio de Economía y Competitividad”
- Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad (DPI2014-60881-R)
This publication has 38 references indexed in Scilit:
- A survey on time and frequency characteristics of induction motors with broken rotor bars in line-start and inverter-fed modesMechanical Systems and Signal Processing, 2015
- EMD-Based Analysis of Industrial Induction Motors With Broken Rotor Bars for Identification of Operating Point at Different Supply ModesIEEE Transactions on Industrial Informatics, 2013
- Low-Power Analog Processing for Sensing Applications: Low-Frequency Harmonic Signal ClassificationSensors, 2013
- A New Approach for Current Sensor Fault Diagnosis in PMSG Drives for Wind Energy Conversion SystemsIEEE Transactions on Industry Applications, 2013
- Current envelope analysis for defect identification and diagnosis in induction motorsJournal of Manufacturing Systems, 2012
- Stator Inductance Fluctuation of Induction Motor as an Eccentricity Fault IndexIEEE Transactions on Magnetics, 2011
- Monitoring of Rotor-Bar Defects in Inverter-Fed Induction Machines at Zero Load and SpeedIEEE Transactions on Industrial Electronics, 2010
- A Probabilistic Fault Detection Approach: Application to Bearing Fault DetectionIEEE Transactions on Industrial Electronics, 2010
- Quad Demodulation: A Time-Domain Diagnostic Method for Induction MachinesIEEE Transactions on Industry Applications, 2009
- Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current EnvelopesIEEE Transactions on Industrial Electronics, 2008