Asynchronous motors are
frequently used in many industrial applications, especially pumps and fans. Placement,
bearing and coupling faults are common faults in these types of engines. Misalignment
error is a common type of error that is seen very often among these errors. This
error may cause efficiency decrease in a short run and vibration may cause
short circuit and wear in moving parts in the stator windings in a long run. Early
diagnosis of such faults is important in terms of machine health and
productivity. In this study, loose connection and angular imbalance of the
asynchronous machine were investigated. In the experimental works, a 1 Phase 0.75
KW power asynchronous motor, Y-0036-024A Electromagnetic Brake and SKF Microlog
vibration meter were used during the measurements. The Frequency components of
motor caused by the settlement errors were investigated under the different
loads. A loose assembly error and angular imbalance were investigated from the
misalignment errors. The engine was run idle and without any positioning errors
and measurements were taken from different points with the accelerometer and
the frequency spectrum examined. Measurements are repeated when the
misalignment errors are occurred on purpose and the FFT frequency components
were compared under the load of 12.50Nm using magnetic brake. The results show
that the FFT frequency components are examined and the placement error can be
determined with high success and accuracy. It has been found that harmonic components
are formed in the frequency spectrum at 25Hz Coefficients. After the settlement
error is generated it is seen that, undesired frequency components that are
unloaded are lowered under load when the frequency spectra is examined. In this
study, theoretical and experimental comparisons of settlement errors are made.
Although many errors in this subject are examined in the same publication in
general, only the results of the settlement errors are examined specifically as
a contribution to the literature. The results and graphs are presented
comparatively to the reader's knowledge.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | December 15, 2019 |
Submission Date | August 7, 2018 |
Acceptance Date | October 10, 2019 |
Published in Issue | Year 2019 |