InAsset - Predictive Asset Maintenance

Brief page

This solution works fully in the app. Its complete documentation is still on the way - what follows summarises the features available today.

InAsset helps maintenance teams watch machine condition in real time and anticipate service needs before something fails.

Features

• Asset overview - vibration, temperature, runtime hours and the service schedule per machine, with a predictive trend.
• Maintenance prediction - a failure-prediction table with estimated costs for calibration or component replacement.
• Vibration thresholds - threshold rules following the ISO 10816 standard, adjustable per machine type.
• Automation & alarms - automatic notification when a machine parameter leaves its reasonable band.

The standard behind it

Default vibration thresholds follow ISO 10816 (evaluation of machine vibration by machine class and foundation type) - the common industry standard for judging the condition of rotating machinery (motors, pumps, compressors) from vibration data.