HanPHI: Predictive Analytics Solution
Our intelligent predictive modeling and health-indexing technologies make HanPHI® a powerful solution that has significant benefits for system operations. The advanced predictive analytics software’s early warnings identify areas for predictive maintenance. With HanPHI, your enterprise reduces maintenance costs, unscheduled downtime, and asset failures.
The insightful fault detection software helps you make your assets more reliable and your operations run more effectively. With HanPHI’s advanced pattern recognition software, you can eliminate hidden failures and potential operational risks. This extends your equipment’s life cycles and increases asset reliability, efficiency, and safety all within a limited budget.
Real-World Savings From HanPHI
Unplanned downtime is a big draw on budgets and efficiency no matter what industry or field you’re in. Many organizations report that downtime is a significantly burdensome source of revenue loss — oftentimes the largest. When your machines and data sources fail, overhead costs can go through the roof while efficiency plummets through the floor.
Over recent years, four out of five U.S. companies say they’ve suffered from downtime of more than several hours. This can cost an efficient organization more than a quarter of a million — and the worst part is that it’s completely avoidable. Not only does unplanned downtime affect cash flow, but it can also wreak havoc on meticulously planned budgets that have to be adjusted midway through, and we all know how problematic and chaotic a cascading budget shift can be.
Thankfully, there’s a better way to optimize your equipment health rather than having to wait for your next period of downtime or build a buffer into your budget.
It’s called predictive analytics, and it’s changing the way many institutions approach downtime. With an advanced pattern solution, you’ll see the anomaly in the data long before it hits your bottom line. This gives you the ability to design maintenance strategies that prevent breakdowns before they have a chance to slow your production to a costly standstill.
Whether you’re seeking maintenance optimization, an improved search process to help identify maintenance priorities, decreased production costs, or strengthened data analysis capabilities, advanced pattern recognition software is quickly becoming a requirement for production plants and production sites that can’t afford one minute of money-burning downtime.
To learn more about how advanced pattern recognition solutions can help your organization, contact the advanced pattern recognition experts at HanAra Software. We’re ready and able to help you break through your limitations to achieve operational excellence.
What Makes HanPHI Different?
PreciseÂ
Predictive analytics software with root-cause analysis and the tools you need, and nothing you do not need, to improve operations Â
InsightfulÂ
Knowing the health of your equipment puts you on the right path to evaluate, analyze, and correct equipment problems, saving you time, energy, and unnecessary risk
SimpleÂ
We make the complex simple so you can improve your reliability, availability, and maintainability now. Why wait?Â
CUSTOMER STORIES
KOREA SOUTH-EAST POWER
Korea South-East Power Company (KOEN) is a major power generation company, providing approximately 10,000 megawatts of electricity at its 12 plants. KOEN generates electricity for metropolitan areas and southern Korea. KOEN generates approximately 10% of South Korea’s annual net electricity.
Since installing HanPHI in 2012, KOEN has proactively managed its plants. With HanPHI, KOEN has increased its annual electricity output and the lifecycle of its assets and decreased its maintenance costs, repair time, fuel usage, and unscheduled downtime.
THE UNIVERSITY OF TEXAS AUSTIN
To reduce unexpected equipment failures, unplanned maintenance activities, and outage time, UT Austin chose HanAra Software’s HanPHI™ solution as its condition-based predictive monitoring solution.
With the implementation of HanPHI, HanAra provided the UT Austin team with the information to simplify and speed-up the decision-making and maintenance process. With a centralized location for data and the capacity to utilize predictive maintenance, HanPHI also eliminates redundant and unnecessary maintenance and support costs.
KHNP
KHNP is the largest Korean electric power company, generating approximately 31.5% of the total generated electric power in Korea. They operate 82 units, including solar, hydro, geothermal, bio, hydrogen, and more, with a total production capacity of 27,857 MW.
With a growing increase in operational data available at plants, their organization turned to HanPHI to ensure the technical safety of their facilities and to manage data at a centralized control and monitoring center.
DISCOVERING ACTIONABLE INTELLIGENCE
TIC 310 malfunctions lead to water hammering in the header of the utility. Our DCS system does not have the ability to monitor this impact. The discovery by HanPHI is a very important as it allows operators to take action to prevent losses in advance.
HanPHI Use
Ways to use HanPHI
From day 1, our predictive maintenance tool will provide you with needed insight into your equipment health status. We partner with our customers to ensure a simple and straightforward predictive analytics implementation. Let our experts support you on your digital transformation journey.
Ways to use HanPHI
HanPHI provides a plant health index to give you early warnings of potential and hidden equipment failures. Since HanPHI is comparing real-time values to HanPHI expected values, it also alerts you of potential sensor issues, including mismapped sensors.
Ways to use HanPHI
The value of HanPHI is that it represents the current operating status of your equipment, systems, plant, and fleet. By using the historical normal, fault-free data to create models, you have a better understanding of how your equipment operates in your environment and in your process.
