Join us every third Thursday of the month for a 30-minute demonstration of our advanced predictive maintenance solution, HanPHI. During this live HanPHI demo, we’ll discuss how our solution can help transform your equipment reliability and maintenance strategies.
Session Details:
- When: Third Thursday of Every Month (September 18, 2025)
- Time: 3:00 PM ET
- Duration: 30 minutes
- How: Teams Webinar
- Registration Deadline: Wednesday at 11:59 PM ET (September 17, 2025)
What We’ll Show: Our live demo provides a complete overview of our predictive maintenance platform’s core capabilities. We’ll demonstrate how the system monitors equipment health in real-time, analyzes performance patterns, and identifies potential failures before they occur. You’ll see our intuitive interface in action as we walk through condition monitoring tools that transform equipment data into actionable maintenance insights.
The demonstration covers our platform’s root cause analysis features, showing how users can quickly identify the underlying causes of equipment issues and performance degradation. We’ll showcase the system’s machine learning algorithms that detect anomalies and patterns in equipment behavior. You’ll learn about our flexible monitoring solutions that accommodate various sensor types and equipment configurations commonly used.
Throughout the session, we’ll highlight the platform’s alert management features that ensure maintenance teams receive timely notifications about equipment conditions. Our team will also demonstrate how the system helps operations teams reduce unplanned downtime and optimize maintenance timing by providing early warning indicators of potential equipment problems.
Who Should Attend: This demo is perfect for maintenance professionals exploring predictive maintenance solutions, evaluating new reliability strategies, or simply curious about modern condition monitoring technologies. Whether you’re a maintenance manager, reliability engineer, operations professional, or decision-maker responsible for equipment performance, this session provides valuable insights into predictive maintenance capabilities.
Can’t make this month’s demo? Register for next month’s session or contact us to schedule a meeting.