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 continuously monitored in order to detect early signs of wear, malfunctions or other unusual conditions. The main aim is to predict failures and enable preventive maintenance measures before serious problems occur.
Advantages of condition monitoring
Condition monitoring offers a number of advantages for companies that operate industrial machines and systems. Here are some of the most important benefits:
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 good 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.
