Investigations on Non-Invasive Fault Diagnostic Techniques for Three-Phase Induction Motor with Mixed Eccentricity
Date
2013
Authors
B L, Rajalakshmi Samaga
Journal Title
Journal ISSN
Volume Title
Publisher
National Institute of Technology Karnataka, Surathkal
Abstract
Induction motors are extensively used in several industries such as oil, steel,
petrochemical to name a few, and their failure may lead to the plant shut down
resulting in the heavy financial losses. The motor operation management units are
usually supported with protective gear which has the ability to detect the induction
motor faults and stall the operation on detection. However, as a routine practice, it is
essential to diagnose the defect in the motor by prognostic studies. There are various
signature analysis techniques widely practiced in industries to detect nature and
causes of failures in induction motor parts. Out of known causes of failures in these
motors, 10 to 15% is attributed to the air gap eccentricity faults, thus demanding
detection at the earliest. The major objective of this research work is to investigate the
robust signatures to characterise the air gap eccentricity in the induction motor. To
meet this objective, efficacy of various signatures that mark the presence of
eccentricity are explored, and as an outcome it is found that d-q components of stator
current can be used as the most suitable detector of machine failure due to mixed air
gap eccentricity. Power signatures, Torque signatures and Power factor signatures
were used for mixed eccentricity detection in the past by various researchers. These
techniques use characteristic harmonics produced at the frequency signifying
disturbances produced due to an air gap mixed eccentricity and used as signatures in
air gap eccentricity diagnosis. In the present work it is shown that, the extracted d-q
components of the stator currents contain characteristic harmonics signifying the
presence of eccentricity and proposed as a better technique for performing the
signature analysis. This technique is more advantageous and cost effective when
compared to torque and power signatures analysis methods, since they are commonly
used in controllers which are handling motor control.
The scope of research work is modularized into following four phases:
Phase 1: At this phase, mathematical expressions are derived for d-q components of
stator currents in synchronous reference frame for the induction motor suffering from
mixed air gap eccentricity. From the derived expressions, it is shown that they contain
eccentricity specific harmonics in them.
Phase 2: Here, a dynamic model of squirrel cage induction motor suffering from air
gap mixed eccentricity fault is developed. And this model is used in simulatingii
various mixed air gap eccentricity conditions and stored as a test data set. By
systematic frequency signature analysis performed on the extracted d-q components
of stator currents, it is shown that simulation results validate the mathematical
expressions derived earlier.
Phase3: In this phase, observations made at the phases 1 and 2 are experimentally
validated by conducting experiments on 3HP three phase induction motor suffering
from mixed eccentricity. In addition a motor mounting frame having special provision
for introducing eccentricity is specially fabricated to introduce various degrees of
eccentricity.
Phase 4: To understand implications of supply voltage imbalances on eccentricity,
detection technique is further investigated at this phase.
The d-q components of stator currents in synchronous reference frame are
often used in controller as control variables, as these are found to be dc signals. But as
a part of the research investigation it is also shown that d-q components of stator
currents extracted from stator currents of an air gap eccentric machine in synchronous
reference frame will contain DC component superimposed with ripple oscillations.
This ripple is due to eccentricity and it can be characterized by harmonics frequency
even when the machine is fed with 3 phase sinusoidal voltages and running under
constant load.
As an outcome of all above work finally an integrated air gap eccentric condition
monitoring unit and a controller unit for an induction motor has been proposed.
Description
Keywords
Department of Electrical and Electronics Engineering, Air gap eccentricity, Induction motor, Modeling and Simulation, Power Spectral Density Analysis