Abstract: The requirements for the effective control, safe and reliable operation of electrical motors and drives are constantly growing. Therefore an accepted maintenance strategy for the detection of nascent faults and for avoiding unexpected failures is the condition monitoring of their health status. This allows to perform preventive diagnostics and a planned repair instead of emergency one. This paper represents an ongoing research on elaborating a low cost data acquisition system for condition assessment of electric motors based on the typical profile of its current, voltage or vibration. This approach is typically non-invasive and is known as a signature analysis. Some typical fault conditions are systematized in the paper and some perspective methods for monitoring and diagnosis of faults in electric motors are discussed. An approach towards building such a system using low cost hardware and open source software is proposed.
Keywords: Condition Monitoring, Motor Faults, Signature Analysis, Fault Diagnosis
| DOI: 10.17148/IARJSET.2018.51010