How many of these apply to your organization?
Operations
Ο Our operations rely heavily on reactive maintenance strategies
Ο We don’t have engineering experts to analyze data for us
Ο Some of our equipment is causing more problems than usual
Ο We’ve experienced at least one surprise failure in the last few months
Monitoring
Ο We lack monitoring of critical assets
Ο We have limited internal support for integrating new solutions
Ο We can’t easily identify early warning signs of equipment degradation from our data
Ο Data is not centralized and/or not easily accessible across all levels of our organization
Analysis
Ο Real-time data is not utilized to improve maintenance practices
Ο Maintenance costs fluctuate due to surprise failures
Ο Our operations teams do not have insight into equipment health
Ο We struggle to identify the root-cause of our functional failures
Business
Ο Better insights would help us improve efficiency
Ο We would benefit from reducing unplanned machine downtime and related costs
Ο Our plant and personnel’s safety is put at risk during equipment failures
Ο One of our goals is to extend asset lifecycles while reducing unnecessary spending
Understanding Your Results
If you checked most > You’re in the early stages of your digital transformation! Establishing a robust industrial data management foundation should be your first priority before advancing to predictive analytics.
If you checked some > Your organization is well-positioned to incorporate APR insights into daily operations and realize measurable improvements in efficiency and reliability.
If you checked none > Congratulation on your commitment to operational excellence. Consider sharing your success strategies with the industry and remain open to emerging technologies that can further optimize operations.
Our APR Solution for Improving Industrial Operations
HanPHI, our proven plant health index solution, identifies potential equipment failures before they occur, helping you eliminate unexpected downtime and improve maintenance schedules. The platform delivers actionable intelligence through:
- Unsupervised Machine Learning: Detects both recurring and never-before-seen failure patterns by comparing real-time operations against your expected, normal conditions.
- Advanced Pattern Recognition: Analyzes interdependencies across sensors, components, and equipment systems. Instead of static alarm thresholds, you receive dynamic early warnings calibrated to your plant’s current operational status, along with built-in analytical tools for real-time data evaluation.
- Your Historical Data: Builds intelligence models based on your specific plant configuration, equipment, and operating environment, not generic industry standards.
With HanPHI, your team gains real-time APR insights that minimize downtime from unknown issues. Early warning alerts highlight problem areas precisely when action is needed, while comprehensive analysis capabilities empower your subject matter experts to conduct deeper investigations when required.
APR FAQs
How to Get Started
You don’t need a dedicated analytics department or team of expert engineers to begin leveraging pattern recognition. Follow these three straightforward steps:
Implement a reliable data historian as the cornerstone of your smart plant infrastructure. A comprehensive data management solution centralizes both real-time and historical data, enabling immediate access and advanced analytics capabilities.
Collect and analyze data to develop patterns and insights specific to your plant operations. HanPHI, our intuitive predictive analytics platform, comes with dedicated engineering support to ensure your data drives meaningful action.
Receive proactive alerts for potential failures, access high-level dashboards and trend visualizations, and generate reports, all designed to save time and support better decision-making.
Contact us to learn more. We’re committed to helping you overcome operational limitations and achieve measurable results.
