Honeywell Asset Reliability Sensor Solution

Honeywell's Asset Reliability Solution with Wireless Sensors is a state-of-the-art, managed predictive maintenance system designed to enhance asset monitoring and provide critical insights for various equipment, including motors, pumps, compressors, and gearboxes. This innovative solution utilises plug-and-play wireless sensors to collect and analyse data, identifying potential failures and offering recommendations to optimise asset lifespan and performance.

As part of Honeywell Forge Performance + for Buildings Predictive Maintenance, it consolidates real-time and historical facility data, streamlining the identification and resolution of issues. The solution is seamlessly integrated into the Honeywell Forge dashboard, allowing users to access and interpret data easily.

The solution has many benefits, it helps in maintaining business continuity by preventing downtime, it reduces emergency costs by preventing extended asset damage from component failures, and ensures safety by minimizing the risk of injuries during catastrophic asset failures and ensuring the reliability of critical life/safety systems, such as chemical extraction fans.

The Solution includes advanced edge analytics, which enable continuous monitoring without constant network connectivity, time-based data collection to avoid missing key events, detection of equipment anomalies, and long sensor life. Additionally, the technology can pinpoint fault modes in rotating equipment, predict the remaining useful life of machines using advanced AI analytics, and facilitate proactive maintenance planning.

It is ideal for equipment such as air handling units, chillers, water pumps, exhaust fans, compressors, and gearboxes. The 6-in-1 sensor detects vibration in 3D, temperature, magnetic flux, acoustics, humidity, and speed, ensuring comprehensive monitoring and maintenance which enhances the reliability and performance of your equipment.

Speak to Aerco to find out more about Honeywell’s Asset Reliability Solution.

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