The introduction of condition monitoring in mechanical engineering is an important measure to increase the productivity and efficiency of machines and systems. This is a preventive maintenance strategy. This makes it possible to identify potential problems at an early stage and take appropriate measures. In the following, we show the steps to introduce condition monitoring in mechanical engineering.
Step 1: Analysis of the machines
The first step is to carry out a comprehensive analysis of the machines. Various aspects such as machine type, area of application, load and maintenance requirements should be taken into account. Based on this analysis, you select the most suitable condition monitoring methods (e.g. vibration analysis).
Step 2: Selection of suitable measurement methods
Based on the analysis of the machines, you select the appropriate condition monitoring measurement methods. These measurement methods include, for example, vibration analysis, temperature monitoring or oil condition monitoring. The choice of suitable methods basically depends on the specific requirements and the area of application of the machines.
Step 3: Installation of sensors and data acquisition
In order for condition monitoring to be carried out, sensors for data acquisition must be installed on the machines. These sensors can be, for example, accelerometers, temperature sensors, or oil condition sensors. In some cases, sensors already exist in the machines or the built-in control system can provide information about the machine statuses. The collected data is then forwarded to a monitoring system, where it is then analyzed and evaluated.
Step 4: Implementation of monitoring systems
The implementation of monitoring systems is an important step in the introduction of condition monitoring in mechanical engineering. For example, these systems detect anomalies or deviations in machine parameters based on machine learning methods or artificial intelligence. Monitoring systems should be configured to generate alerts when potential problems are detected.