This project focuses on diagnosis of problems in a printer from captured acoustic
signals. Previous researchers already successfully designed a feature generator to
encode the acoustic signals into 6 dimensional features. And they also trained
classifiers on artificial data to predict if a printer is in a good or bad status. The
final target is to make a diagnosis based on the acoustic data, such as pre-alert.
This will help engineers to fix the problems of the printers before customers
making service calls.
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INC, HP, "ACOUSTICS PROJECT REPORT", Technical Disclosure Commons, (October 29, 2021)