Halo to predict mechanical failures in smart facilities

Jan. 8, 2018
Continuous-diagnostics platform to maximize uptime of equipment.

Augury this week announced Augury Halo, a continuous-diagnostics platform for industrial and commercial facilities. This cloud-based diagnostics solution monitors mechanical equipment and predicts failures before they happen. According to its maker, the system’s ability to provide actionable insights from machine data leads to increased equipment life, improved machine reliability and more efficient operations. Augury Halo is already deployed at several Fortune 500 companies, providing actionable insights into their production machines.

“The Industrial IoT is changing the way the industry makes informed decisions based on real-time data,” said Saar Yoskovitz, CEO of Augury. “Halo shortens the time to action—from the earliest signs of malfunction to remediation.”

Augury Halo uses vibration, ultrasound and other sensing technologies to detect equipment malfunctions and provide detailed, actionable recommendations for maintaining the health status of any machine. The algorithms use data from a variety of machines to build a model of how malfunctioning equipment behaves. With collected data from more than 40,000 machines, Augury’s malfunction dictionary continues to expand at an exponential rate.

Unlocking the power of predictive maintenance

Halo empowers businesses to run continuous diagnostics on mechanical equipment, according to Augury. The platform requires minimal training for usage and facility operation teams benefit from:

  • Always on and always listening smart sensors constantly collecting and analyzing data of critical assets.
  • Machine learning algorithms that process the data sent via cellular or WiFi connection to Augury’s secure cloud, providing powerful insights into machine health.
  • Instant alerts and reports sent when malfunctions are detected.
  • Reports providing an in-depth view of machine health, developing issues, and suggested maintenance practices.