Ultrasonic sensors detect mechanical problems before they occur

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When it comes to machinery, diagnosing specific problems can be difficult. Now, a new Israeli startup called 3DSignals is using wireless ultrasonic sensors to track changes in the sounds made by machinery, to predict when breakdowns are about to occur. The technology uses deep learning to listen for deviations from the norm in musical and mechanical acoustics. It identifies anomalies, classifies patterns of equipment failure and predicts issues before they interrupt production. This has a number of benefits. First of all, it reduces the impact of human error, which can cause costly unplanned downtimes. Secondly, it means users can react…

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