Process Industry Insights:
Sharing Our Expertise in the Industry
SUCCESS STORY
UT Austin Discovers Excellence with HanPHI
By implementing predictive maintenance, UT Austin takes the random out of the equation. Rather than relying on solely preventive or reactive maintenance, UT Austin wanted access to more actionable intelligence to identify equipment failures in advance.
EXPERTISE
Advantages of Employing Predictive Maintenance
Studies show that the longer it takes to identify impending failures in equipment, the cost of repair also rises, and the downtime is extended. These studies also show that predictive maintenance technology is more effective at detecting impending failure in equipment sooner in the P-F curve. So, what are the insights you should know to best take advantage of PdM and become more sustainable?
RECENT RESOURCES
5 Signs Your Plant Needs Advanced Pattern Recognition
APR software detects hidden trends, early warning signs, and subtle anomalies in equipment or process behavior long before setpoint alarms are triggered or failures occur. It analyzes historical and real-time data to uncover what we can’t easily see.
