Multi-frequency image processing for inspecting parts having complex geometric shapes

Multi-frequency image processing for inspecting parts having complex geometric shapes

A method for detecting small cracks and other anomalies on parts having complex geometries is disclosed. The method includes eddy current inspection incorporating collection of data from multi-frequency eddy current signals. Phase analysis is used to combine the multi-frequency data to enhance the s...

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Hauptverfasser: Suh, Ui Won, Gambrell, Gigi Olive, McKnight, William Stewart, Pisupati, Preeti, Mishra, Peyush Kumar, Dewangan, Sandeep Kumar, Wang, Changting
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Sprache:eng
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creator Suh, Ui Won
Gambrell, Gigi Olive
McKnight, William Stewart
Pisupati, Preeti
Mishra, Peyush Kumar
Dewangan, Sandeep Kumar
Wang, Changting
description A method for detecting small cracks and other anomalies on parts having complex geometries is disclosed. The method includes eddy current inspection incorporating collection of data from multi-frequency eddy current signals. Phase analysis is used to combine the multi-frequency data to enhance the signal to noise ratio of the raw inspection image. The image is then reprocessed using a spatiotemporal filter to correlate with the frequency components of the eddy current flaw signal to separate signals associated with cracks and other flaws at edges that would ordinarily be hidden by edge effect signals.
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title Multi-frequency image processing for inspecting parts having complex geometric shapes
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