Drive System Monitoring
Maintaining drive systems is critical for operational efficiency. This demo provides a high-level overview of a conveying system, monitoring Nord Motor Starters and LogiDrive Motors to detect anomalies before they escalate. Learn how early failure notifications empower maintenance teams to take preventive actions and how reliability engineers can gain deeper insights into failure mechanisms. Explore features like real-time alerts, event tracking, and bowtie analysis to improve decision-making.
Complex Asset Monitoring – Turbines
This demo shows an application that monitors the steam turbine and its subsystems. The turbine system consists of: a lube oil system, turbine, gear and generator. Critical elements in each subsection are monitored with sensors and a few machine-learning models. The objective of monitoring the turbine is to provide maintenance with early notifications of events that will disrupt operation so that preventive actions can be planned. In addition, it provides field services and reliability engineers with insights into failure mechanisms.
Dashboard & KPI Configuration
Data visualization plays a crucial role in asset monitoring. This demo takes a deep dive into the APM Studio dashboard configurations, showing how KPIs, asset properties, and alarms can be customized for real-time insights. Discover how intuitive Asset Cards display key data points, how Motor Health KPIs provide an at-a-glance system status, and how actionable alerts help prioritize maintenance.
Starter Overview & Alarm Insights
Drives are only as reliable as their starters. This demo showcases how APM Studio tracks motor starters, visualizes their status, and integrates alarms and failure notifications into a single dashboard. Learn how model selection nodes allow for asset-specific data filtering and how alarm browsers help you focus on critical events affecting system performance. Explore the power of root-cause analysis and targeted troubleshooting.
Starter Drill-Down & Time Series Analysis
Effective troubleshooting requires granular insights. This demo highlights starter-level drill-downs and time-series data visualization, helping engineers diagnose issues efficiently. Experience how APM Studio’s graphical time-series charts provide trend analysis, allowing teams to anticipate failures before they happen. See how real-time data can be mapped to asset models for predictive maintenance strategies.
Learn More About APM Studio
Our product APM Studio is the leading Real-Time Analytics Software for Machines and Processes to make them Smarter.
Looking for Expert Guidance?
Book a call with Artur Loorpuu, Senior Solutions Engineer in Digitalization. Artur specialises in turning industrial challenges into practical digital solutions through expertise in predictive maintenance, digital twins, data science, and strategic product management.
Let’s explore how we can support your goals!
