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The availability of machines and plants is a basic requirement for productivity. In order to minimize unplanned downtimes, it is necessary to detect the sources of error at an early stage. This is exactly where SIPLUS CMS Condition Monitoring Systems come in: they continuously monitor the condition of mechanical components of your machines – even throughout the entire plant. SIPLUS CMS therefore represents an important step toward the digital factory, where all the players including machines, products and people along the value chain will be networked. SIPLUS CMS working together with MindSphere – the cloud-based, open IoT operating system from Siemens – opens up completely new possibilities. The powerful cloud platform is designed for analyzing large quantities of data and enables machine parks all over the world to be monitored for service purposes in order to reduce their downtimes.
SIPLUS CMS Condition Monitoring Systems create the prerequisites for the early detection of damage to machines and plants and the targeted planning of maintenance work – for a minimum of downtimes.
SIPLUS CMS records and analyzes mechanical variables from machines, integrates them into the automation world, and provides decision-making aids to maintenance staff, operators, and management. The open system architecture and the efficient interaction between all automation components (TIA) enable plant-wide condition monitoring of mechanical components across all levels. With this approach, control centers are able to closely monitor up-to-date status information. In the event of an anomaly, it is possible to quickly estimate how much longer secure operation is possible. Also anomalies in a plant can be compared directly to the condition of surrounding components to determine whether an increase in temperature is an indication of a bearing overheating.
SIPLUS CMS – Stepping up your production
Get digital added value from mechanical condition data
The availability of machines and plants is a basic requirement for productivity. In order to minimize unplanned downtimes, it is necessary to detect the sources of error at an early stage. This is exactly where SIPLUS CMS Condition Monitoring Systems come in: they continuously monitor the condition of mechanical components of your machines – even throughout the entire plant. SIPLUS CMS therefore represents an important step toward the digital factory, where all the players including machines, products and people along the value chain will be networked. SIPLUS CMS working together with MindSphere – the cloud-based, open IoT operating system from Siemens – opens up completely new possibilities. The powerful cloud platform is designed for analyzing large quantities of data and enables machine parks all over the world to be monitored for service purposes in order to reduce their downtimes.
Acting with foresight – increasing availability
SIPLUS CMS Condition Monitoring Systems create the prerequisites for the early detection of damage to machines and plants and the targeted planning of maintenance work – for a minimum of downtimes.
Transparency across all levels – with Totally Integrated Automation (TIA)
SIPLUS CMS records and analyzes mechanical variables from machines, integrates them into the automation world, and provides decision-making aids to maintenance staff, operators, and management. The open system architecture and the efficient interaction between all automation components (TIA) enable plant-wide condition monitoring of mechanical components across all levels. With this approach, control centers are able to closely monitor up-to-date status information. In the event of an anomaly, it is possible to quickly estimate how much longer secure operation is possible. Also anomalies in a plant can be compared directly to the condition of surrounding components to determine whether an increase in temperature is an indication of a bearing overheating.
Your benefits
SIPLUS CMS is available in three different versions – from compact and integrated to modular and powerful. Regardless of which version you choose, you benefit from many advantages.
System benefits
- Simple system configuration
- Open standards
- Easy expandability
Cost reduction
- Longer lifecycle time
- Effective spare parts maintenance
- Investment protection
Higher productivity
- Higher availability
- Predictable maintenance and repair
- Simple diagnostics
Part of digitalization
- Record and analyze mechanical variables
- Connection to cloud solutions
- Decision-making aids for service
Seven steps to a customized Condition Monitoring (CM) solution
- Choosing the right Condition Monitoring System takes some planning. Use the following step-by-step guide to find the right Condition Monitoring solution for your needs:
- Define requirements: Decide which mechanical components must be monitored for what kinds of damage.
- Select a CM system: Choose the device with the right number of sensors and the right characteristics.
- Connect sensors and CM system: Note the maximum cable length when fixing the sensors.
- Choose method of analysis: Choose the right method from parameter-based, frequency-selective, or freely configurable analysis.
- Put the CM system into operation: Establish alarm and warning thresholds as per ISO 10816-3.
- Put control system with CM into operation: Decide which CM data must be visualized, and for whom.
- Optimize warning and alarm limits: Adjust warning and alarm limits based on initial trend curves with the system in operation.
- Benefit from all the advantages of MindSphere with MindConnect Edge Analytics based on CMS X-Tools.
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