Abstract: In Industry motor assemblies are expensive and for their precise operation we need constant monitoring throughout manufacturing, installation and operational periods. Downtime of this machine should be of minimum. The methods involved in monitoring can prolong the life of Motor. Industry prefers Vibration analysis for this, which rigorously aids engineers in the machine fault diagnosis. Vibration analysis requires trained professionals to detect faults, but in our research we made the entire process autonomous. Having ARM cortex as brain we could monitor mechanical & electrical faults with extensive signal processing from accelerometer data. It compares the processed data with the motor specifications following rules and generates the result. That’s how the solution can not only detect the root cause for abnormalities but also the severity of the problems. Moreover it saves time, money and human resource in the industry which was our sole aim before undertaking the project.
Keywords: Vibration Analysis, ARM cortex, Motor faults, signal processing, FFT, remote monitoring, conditioning of motor, stellaris
Title: Autonomous Motor Condition Analysis with Vibration Feature Extraction
Author: Subharthi Banerjee, Abhishek Chatterjee, Nilanjana Chaudhary
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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