Efficient condition monitoring for the early detection of mechanical machine damages

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. Maintenance work can then be scheduled to avoid interrupting productive operation.
This is precisely where SIPLUS CMS Condition Monitoring Systems come in. They continuously monitor the condition of mechanical components in your machinery and throughout the plant. As a result, any changes resulting from wear or other damage based on the documented trend histories can be detected at an early stage and issues resolved before they lead to plant downtime.

We’re setting the standards for tomorrow

SIPLUS CMS also represents an important step toward the digital factory – where all the players including machines, products and people along the value chain will be networked.

The interaction of SIPLUS CMS and 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 – a big step toward digitization. And so also toward Industry 4.0.

SIPLUS CMS is available in three different versions – from compact and integrated to modular and powerful

SIPLUS CMS1200 – the integrated solution

SIPLUS CMS1200 - the Condition Monitoring System for the SIMATIC S7-1200

SIPLUS CMS2000 – the stand-alone solution

Stand-alone solution for condition monitoring: 2, 9 or 16 channels IEPE channels according to the degree of Expansion

SIPLUS CMS4000 - the powerful solution

Freely configurable continuous condition monitoring of entire plants, including gear units and journal bearings

High-speed analyses with maximum transparency

Analytical methods

The three analytical methods of the Condition Monitoring System

Maximum transparency

Plant-wide condition monitoring of mechanical components across all levels