C like Condition Monitoring

Condition Monitoring

What is condition monitoring?

Condition monitoring (CM) is a process in which the condition of machines, plants or systems is monitored and analysed. Continuously monitored to recognise signs of wear, faults or other unusual conditions at an early stage. The main objective of condition monitoring is to Predicting failures and Preventive maintenance measures before serious problems occur.

Advantages of condition monitoring

Condition monitoring offers a wide range of benefits for companies operating industrial machinery and equipment. Here are some of the most important benefits of condition monitoring:

Early detection of problems

Condition monitoring enables the early detection of anomalies, signs of wear or other problems in machines. By identifying potential problems in time, companies can take timely action to prevent costly breakdowns.

Data-based decision making

Condition monitoring collects large amounts of data about the condition of machines. This data can be used for analysis and data-based decision making to further improve operational efficiency and performance.

Optimisation of maintenance activities

Condition monitoring enables more precise planning of maintenance work. Instead of performing routine maintenance, companies can optimise maintenance based on actual condition data and use resources more efficiently.

Extending the service life

By identifying and rectifying signs of wear in good time, companies can extend the service life of their equipment by allowing it to operate under optimum conditions.

Cost savings

By reducing unplanned downtime, optimising maintenance activities and extending the life of assets, companies can achieve significant cost savings.

Reduction of unplanned downtime

By detecting problems at an early stage, planned maintenance measures can be carried out in time to avoid breakdowns. This reduces unplanned downtime and increases the availability of the equipment.

We offer suitable products for condition monitoring of your machines

Key aspects of condition monitoring

By implementing condition monitoring systems, companies can operate their machines more efficiently, extend asset life, minimise unplanned downtime and reduce maintenance costs.

Sensors and data acquisition

Sensors such as vibration sensors, temperature sensors, pressure sensors and others continuously collect data on various parameters of the machine.

Data analysis

The collected data is analysed to identify patterns, deviations or anomalies. Advanced data analysis techniques, including artificial intelligence and machine learning, are often used to identify complex patterns and make predictions about the state of the machine.

Alarms and notifications

When a deviation from normal operating parameters is detected, warnings or notifications are automatically sent to maintenance staff or the management system.

Condition assessment

Based on the analysed data, the condition of the machine is assessed. This assessment can range from "normal" to "critical" and helps determine the need for action.

Maintenance decisions

The information gathered is used to make informed decisions about maintenance actions. This may mean that planned maintenance is brought forward to prevent possible breakdowns.