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The literature review presents the various kinds of existing condition monitoring methods and highlights the need for an economical, intelligent fault diagnosis system for the motors that are being used in variable load applications. The motor current signature analysis (MCSA) has been used widely in previous research work for fault detection of the motor at full-load conditions. However, MCSA cannot...
In this paper a Park's transformation method for the analysis of bearing inner race surface roughness defects is presented. The existing instantaneous power analysis and stator current analysis techniques are unable to diagnose bearing surface roughness defects, due the fact that characteristics defect frequency model is not available for the bearing surface roughness defects. Thus, this paper proposes...
The literature review presents the various kind of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. This paper demonstrates the procedures taken in developing a condition monitoring system for the motor bearing fault identification, utilizing the commonly available motor stator current and voltage. A novel intelligent diagnostic condition...
The implication of failure to diagnose the faults of AC motors at the inception stage would lead to unscheduled machine down-time that can upset datelines and causes financial losses. Classical methods which involve thermal switches, overload relays, timers, magnetic contactors and programmable integrated circuits were adopted in early days. But these methods did not guarantee full protection of motor...
Alternating Current (AC) motors are extensively used in the industries and it is essential to protect these motors from unexpected breakdowns and to detect faults at incipient level so that planned maintenance could be done. In the last three decades various fault diagnosis techniques has been developed but these techniques are considered intrusive as they require accessability to motor for data collection...
This paper provides an overview of several condition monitoring (CM) techniques for the alternating current (AC) motor in a precise manner and this will be useful when selecting proper condition monitoring technique for specific application. Condition monitoring is a process of monitoring operating parameters of machine to reveal the trend of monitored characteristics to predict machine health. Protection...
This paper presents real time nonlinear system identification with irregular sampling time or lost packets. This work views the performance of predictive MLP neural network using sliding window learning approach. By adopting nonlinear autoregressive with external input (NARX) model order, this paper investigate the response of sliding window leaning when the measurement received by the MLP network...
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