Health Monitoring and Prediction (HMP)

Complete Health Monitoring and Prediction System

Full trace analysis of historical and real-time data

Fault detection sends early warning alarm before incident

Remaining Useful Life (RUL) enables Predictive Maintenance

No more unscheduled downtime due to component failure

Take a closer look 01

Key Capabilities of HMP

Fault Detection

HMP monitors your equipment or manufacturing assets, such as motors or pumps in real-time providing early warning of potential failures

* Streaming vibration data from a motor is monitored in real-time

Fault Classification

In conjunction with user-provided knowledge based on domain, the solution examines the data to look for and identify patterns that are indicative of specific failure classification

* The frequency spectrum is analyzed to determine failure type

RUL Prediction

Using historical data, the solution intelligently predicts Remaining Useful Life (RUL) of an asset enabling maintenance, repair, or replacement before it fails

* Remaining Useful Life of the motor is projected

Take a closer look 02

Intuitive Role-based Dashboard

The intuitive HMP dashboard provides a full range of information to help you manage your fleet of equipment
– from health summary to remaining useful lives (RUL)

Use Case

Reduce Maintenance Cost with Predictive Maintenance

Monitoring Equipment Health: Remaining Useful Life information

HMP monitors critical equipment and provides Remaining Useful Life (RUL) information.
This allows Predictive Maintenance (PdM) which maximizes equipment utilization without the risk of downtime due to failure.

Predictive Maintenance (PdM) for the actual condition of the equipment

HMP enables Predictive Maintenance (PdM) by optimizing the maintenance schedule based on the health condition of the asset

Product Brochure BISTel Health Monitoring and Prediction

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