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Rajparthiban RAJKUMAR
Gilbert THIO
Chockalingam ARAVIND VAITHILINGAM

Abstract

Condition-based maintenance (preventive,
predictive, on-line) requires some means of assessing the
actual condition of the equipment/machinery in order to
optimally schedule the maintenance. Condition
monitoring techniques help to detect early failure of
machinery. A continuous Machine Condition Monitoring
is needed to monitor the system to capture the real time
data from the equipment under test such as rotating and
reciprocating machinery for a condition based
maintenance scheduling. The differences between the
actual and desired performance behavior allow the
operators to predict and identify the problems before they
cause the equipment to fail thereby reducing the
catastrophic failures and the consequences. While
vibration monitoring is still the prime factor for the early
detection of problems with rotating machinery the track of
temperature, rotational speed and motor flux equally find
important for machine condition monitoring. The more
sophisticated software such as LABVIEW® helps to
improve the capabilities of vibration-monitoring systems.
An example is National Instruments Sound & Vibration
Assistant that divide the frequency spectrum into specific
bands that correlate to specific known potential failure
modes based on the knowledge on the geometry of the
machine. For instance, rotor imbalance often produces a
recognizable vibration signal that has a frequency of one
times the turning speed of the machine, while offset
misalignment often p

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