Machine Sentry® Product Suite
Connected Condition Monitoring Tools
Software, sensors, gateway connectivity and online monitoring working together.
Machine Sentry® brings together route-based data collection, fixed wireless monitoring, automated data transfer, online monitoring and web-hosted software to help reliability teams collect, manage and act on asset condition data.
What is Machine Sentry®?
Visual inspections, vibration analysis, thermal imaging and lubrication management are captured in a single database and visualised through the cloud service. This supports the core goals of plant management: efficiency, reliability and safety.
Data is analysed by ADA™ (Automated Diagnostic Assistant) using algorithms developed by AVT Reliability® experts. ADA™ can predict stage 2, 3 and 4 bearing failure and detect common fault conditions such as looseness and imbalance, giving you a clear picture of asset health for fast, informed decisions.
As a cloud solution, our engineers can support you remotely, or your trained staff can manage analysis in-house with guidance from AVT Reliability®.
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Machine Sentry® Demonstration
Turn your data into decisions with an on-site demoSee Machine Sentry® applied to your assets, operating conditions, and reliability challenges in real time. On-site delivery provides the greatest value, with a tailored Microsoft Teams option available when site access is not practical. |
Book a free demo England, Scotland, Ireland, Europe, USA and Canada
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Turn your data into decisions with an on-site demo
See Machine Sentry® applied to your assets, operating conditions, and reliability challenges in real time. On-site delivery provides the greatest value, with a tailored Microsoft Teams option available when site access is not practical.
Machine Sentry® Training Courses
To ensure you gain the maximum benefit from Machine Sentry® software and sensors, AVT Reliability®
offers dedicated training programmes. These courses cover everything from system setup and data collection
to analysis and reporting, helping your team to embed predictive maintenance into daily operations.
