July 6, 2026

Implementing a digital condition monitoring system

Reducing unplanned downtime through data-driven maintenance

Unexpected equipment failures can lead to costly production interruptions, increased maintenance costs, and safety risks. To improve reliability and gain better visibility into asset condition, Quant implemented its quantPredict condition monitoring solution for customer’s sites.

quantPredict is cloud-based solution which combines wireless sensors and advanced analytics to continuously monitor critical equipment and identify early signs of deterioration. By detecting developing faults before they result in failures, maintenance teams can take corrective actions at the right time and avoid unnecessary production disruptions.

The results

The implementation delivered several operational benefits:

•Reduced equipment failures and unplanned production stoppages

•Improved maintenance planning through earlier fault detection

•Enabled maintenance activities to be carried out during planned shutdowns

•Extended equipment lifetime through timely interventions

•Improved safety by reducing the need for reactive maintenance actions

•Increased visibility into equipment condition and performance

By moving from reactive maintenance towards a more proactive approach, we succeeded to improve production reliability and gained greater control over maintenance operations.

What succeeded digital condition monitoring needs?

Successful condition monitoring requires more than installing sensors. To create lasting operational value, organizations need to ensure:

•Reliable data collection from critical production assets

•Effective interpretation of condition data

•Integration of insights into maintenance planning and decision-making

•Commitment to using condition monitoring as part of daily maintenance activities

Without these elements, the full benefits of digital monitoring solutions cannot be realized.

The solution

Quant deployed a scalable and easy-to-implement monitoring solution designed for industrial environments:

•Installation of wireless sensors on critical production equipment

•Continuous monitoring of equipment condition through quantPredict

•Collection and analysis of condition data to identify developing faults

•Monitoring of key machine health indicators, including vibration, temperature, and ultrasound measurements

The wireless solution enables rapid deployment without extensive modifications to existing equipment, making it easier to expand condition monitoring across production sites.