Gain in-depth understanding of drive train components and their health status, low-latency on-site analytics, reduction of power and energy consumption, and usable for greenfield and brownfield applications. Integrate your SINAMICS drives with Drive Connector SINAMICS in the Industrial Edge platform and analyze the recorded
drive data with the Drivetrain Analyzer Edge application with no need for additional sensors.
Analyze SINAMICS drive data to detect anomalies. Monitor machine conditions to improve maintenance planning. Avoid inefficient machine use and increased energy costs for reliable operation.
Achieve sustainable production with energy-efficient machines. Record and analyze SINAMICS drive data to extend system life. Reduce operating and investment costs.
Remotely monitor machines without extra sensors. Enable predictive maintenance by importing relevant vibration and status variables from SIPLUS CMS1200.
Drivetrain Analyzer Edge with Drive Connector SINAMICS provides full transparency into your drive system's energy consumption, operating costs and CO2 footprint for second-generation G-type SINAMICS drives. Without any sensors or special equipment, the model delivers actionable insights into periodical energy efficiency, power consumption and operational costs to maximize energy efficiency.
Perform a holistic analysis of your complete drive application by combining electrical drive parameters with mechanical drivetrain data. Import vibration and status variables from SIPLUS CMS1200 to enable predictive maintenance of mechanical components across all levels, delivering a unified overview of mechanical and electrical domains within the same Industrial Edge platform application.
Visualize calculated statistical KPIs — such as mean and standard deviation — for key drive parameters to enable long-term degradation monitoring and anomaly detection. Gain transparency into systematic drivetrain
deterioration, boost productivity by avoiding unplanned downtime, plan spare part procurement effectively, and reduce costs by performing maintenance only when truly required
Optimize your service and maintenance strategies while increasing system availability and avoiding unplanned downtime by analyzing drive data to detect mechanical anomalies. The Drivetrain Analyzer Edge AI model
correlates peak torque and belt tension to deliver precise, actionable insights. Maintenance is performed only when truly required, and no additional sensors are needed.
Develop and deploy customized AI models tailored to your individual use cases, and visualize their KPIs through charts and gauges to analyze specific, user-defined conditions. Created within the boundaries of the AI-SDK Project
template and configuration file, these models enable users to monitor and analyze the exact conditions that matter most, delivering fully personalized insights for their operations.
