With the presentation of its innovative Machine Health Ultra Low, Augury is taking a firm step towards predictive maintenance of industrial assets traditionally difficult to diagnose. This technology focuses on machinery operating at extremely low speeds, even down to 1 RPM, such as rotary kilns, mining processing equipment or heavy continuous manufacturing machinery.
AI and ultrasound for predictive maintenance
The proposal combines ultrasonic sensors (Halo U2000) with prescriptive diagnostics driven by artificial intelligence. artificial intelligence. The system collects high-frequency data that, when analyzed on Augury’s machine health platform, can anticipate critical failures such as bearing problems, poor lubrication or abnormal gear friction.
Historically, monitoring solutions for slow-moving equipment were inefficient or inaccurate. Traditional methods generated false alarms and failed to capture key early signals. Augury’s approach breaks down that barrier, enabling constant surveillance over assets previously considered impossible to monitor without frequent human intervention.
Measurable operational impact
One of the most prominent use cases involves the timely detection of a loose bolt in the gearbox of a industrial furnace. The finding, processed by the AI system, prevented a potential fire and an estimated loss of more than $100,000 and 4,000 hours of production.
Machine Health Ultra Low is integrated into the Machine Health 360° platform, with which Augury seeks to offer comprehensive and scalable monitoring in diverse production environments. This new capability strengthens the company’s portfolio, which is positioned as a benchmark in operational reliability through artificial intelligence.
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Source and photo: Augury
