Manufacturers must be able to respond immediately to faults in machinery and equipment, so as to avoid downtime. An acoustic monitoring system by the Fraunhofer Institute for Digital Media Technology IDMT in Oldenburg recognizes based on noises whether production parameters are within the set limit values. AI-based techniques help manufacturers draw conclusions about the machine condition and optimize production control.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2w8p02j
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Refining acoustic sensors for detecting safe component tolerance
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