Condition monitoring increases predictability by detecting troubles
One of the most important advantages of condition monitoring is that companies can detect problems at an early stage. Based on the measured real-time data, reliable statements can be made that promote preventive maintenance. Based on the continuously collected data, it is also possible to reduce unforeseen failures to a minimum. After all, such situations are already noticeable in advance. The condition monitoring report brings them to the fore.
This approach follows the principle that failures are not always linear. For this reason, the focus is on different asset aspects that together provide a meaningful overall picture. Based on these measurements, predictive and reliability-oriented maintenance can help to detect defects at an early stage. Applied condition monitoring helps companies in this endeavor. It continuously collects data on the relevant assets.
An example
Stock failures contribute to the decline of assets in the company. Continuous data collection makes it possible to create a history for such scenarios. This makes it possible to determine, for example: The failure occurs when the temperature exceeds 21 degrees Celsius for an extended period of time.
If the warehouse is no longer operational from this point, the company must take active measures. This could consist, for example, of inspecting the warehouse daily or every other day. Now the temperature factor is accurately recorded. In this way, condition monitoring helps to determine the specific circumstances of a failure.
IoT and condition monitoring
The Internet of Things (IoT) is becoming increasingly important in everyday business. It is a network of connected devices that includes both computers and machines. Data can be transferred via this connection without the need for manual intervention.
The great advantage of this approach is that the integration of several plants and systems is completely independent of location. Since applied condition monitoring transmits real-time data from the sensors, the two technologies go hand in hand. For companies, this means:
- IoT-connected condition monitoring services allow monitoring of different assets
- The combination of both technologies helps to identify performance and detect problems at an early stage
- It is possible to automate maintenance based on threshold values. Remote monitoring management allows experts to access the relevant data at any time
- Data storage in the cloud reduces the company’s workload, as it does not require its own data center. This also means that the data can be viewed anywhere and at any time
- Condition monitoring systems can implement machine learning algorithms. This technology contributes to improved analytics and provides better diagnostic accuracy in the condition monitoring report
- To enable predictive maintenance with condition monitoring, a large amount of data is required. Therefore, it is advantageous to collect information from as many plants and machines of the same type as possible
- Human activity decreases by combining both technologies. IoT-based systems can be monitored via remote management, and the number of devices does not matter. Location independence is a significant advantage, especially for companies that need to monitor remote assets