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The key difference between Motor Current Signature Analysis (MCSA) and ESA is with MCSA the FFT is done on the current waveform only, not the voltage. This makes it more difficult to easily distinguish incoming power related problems from motor and driven load problems.
Electrical signature analysis also performs basic calculations on the raw current and voltage to get the RMS current and voltage, the supply frequency, the power factor, the number of machine starts and stops, the machines running time, and so forth. These metrics are used to provide energy and performance insights.
The motor current signature is recorded in a time domain format. The current is represented in a graph form with the amplitude shown on the Y axis and the time on the X axis. The result is a typical current sinewave shown in Figure 1. In order to analyze the data, a Fast Fourier Transform (FFT) is performed.
A signature analysis is a process where file headers and extensions are compared with a known database of file headers and extensions in an attempt to verify all files on the storage media and discover those that may be hidden. From: Data Hiding Techniques in Windows OS, 2017.
MCSAs Malfunction Detection Capabilities Motor current signature analysis dissects the current signals from motors with surgical precision, unveiling a comprehensive view of the machinerys well-being. MCSA can detect malfunctions at their embryonic stage, long before they cast a shadow on operational efficiency.
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