Why PHM Matters
The ability to anticipate when complex industrial systems will fail is essential to safety, efficiency, and cost savings. PHM tools analyze data to detect early signs of deterioration and predict the remaining useful life of critical assets. These insights allow organizations to take corrective actions before failures occur, which minimizes downtime and prevents costly or dangerous breakdowns.
By hosting this open innovation challenge, PSRC aims to enhance awareness of its PHM research and tap into global talent to push the boundaries of predictive maintenance.
Who can participate
The challenge is open worldwide to students, researchers, and working professionals with expertise in fields such as data analysis, AI, predictive modeling, mechanical engineering, and reliability engineering. Submissions may be made individually or in teams.
How It Works
The PHM Data Challenge consists of two coding competitions, where participants will use training datasets to develop algorithms that achieve the most accurate predictions:
The competition will run for five weeks, hosted on the Innocentive platform, giving participants access to real-world datasets and an opportunity to test their ideas against industry-relevant problems.
Prizes & Recognition
A total prize pool of $40,000 is available, awarded across the two tracks:
Order Reconstruction
Gearbox Remaining Useful Life
$5,000
Bonus for the top performer across both challenges
Driving Innovation in Prognostics
Entries will be judged by TII experts based on solution accuracy, methodology, and innovation. By participating, solvers will not only compete for prizes but also contribute to the global PHM research community.
The PHM Data Challenge is an opportunity to showcase technical excellence, tackle industry-critical problems, and shape the future of predictive maintenance.