Condition monitoring gives customers a transparent view of your Viscom inspection systems, from machine performance, to availability and machine content. Data which reflects the actual machine status almost in real time is captured by means of smart methods and equipment. In this way it is possible to identify anomalies and deviations at an early stage so that process optimizations are possible through machine and process data analysis. At the same time a diagnostic capability establishes the causes of the variations.

Predictive maintenance detects potential risks at an early stage. Using data and status information gained in condition monitoring, predictive maintenance makes it possible to forecast undesirable operating conditions and events. These forecasts facilitate needs-oriented service schedules and maintenance work for optimizing plant efficiency. This means predictive maintenance saves on costs and time.

Predictive maintenance assists the planning of plant availability and provides information for targeted maintenance programs at an early stage while also taking manufacturing, service and selling prices into account.

The main objectives of predictive maintenance

• Avoiding stoppages and minimizing outages
• Rapid repairs or replacement of defective and flawed components
• Cost-efficient planning of maintenance and reduction of energy costs
• Reduced manufacturing costs without impairing the quality