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Electric motors are important appliances used in households, buildings, premises, and factories. Maintenance of electric motors may depend on capacity and attention of users so it is likely to find that these motors are often damaged, which results in other loss, such as cost of repairing, time spent for repairing, or even production halt. It has been found that large manufacturers or designated buildings always use motors continuously and working time of motors will always be used as criterion for maintenance. In some cases, internal parts of motor have to be changed and this will increase more expenses. This research proposes to study fault diagnosis of working motor and develop the diagnosing electric motors knowhow from real manufacturer, in particular rice milling plant. Mainly, two major problems of electric motors, which are broken rotor bar problem and bearing fault, are selected for study. Therefore, it can be concluded that for the broken rotor bar case the measurement of the electrical signal waveform of the electric motor is a useful method for illustrating the diagnosis. However, for bearing fault case the measurement of the electrical waveforms signal of the electric motor maybe is inapplicable, because many factors from measuring affect to the error of the outcome electric signal. Alternatively, the measurement of the audio signal waveform of the electric motor is suitable for studying the bearing fault case.
- Research Report