Earlier in the week, Yili Hong, a PhD student from Iowa State, gave an applied statistics seminar in our department about predicting transformer lifetimes. Our power system depends on having transformers up and working. Being able to predict transformer lifetimes (both individually and collectively) is useful for forecasting maintenance and installation. When looking at the data, it was clear that there are different types of transformers, and these classifications were important for making meaningful predictions. Although I didn’t understand some of the statistical techniques and bootstrapping algorithms applied, not being a statistician, I found a few things very interesting. First, there are transformers that were installed in the 1930’s still working in the United States! The old transformers have longer anticipated lifetimes than the new ones. (Their lifetimes were modeled using a Weibull distribution with beta=2 vs. beta=6. Statisticians, discuss amongst yourselves). This is incredibly depressing. We live in a world where everything is disposable. Even our necessary infrastructure.
December 6, 2008
transformers, more than meets the eye
By Laura Albert
This entry was posted on Saturday, December 6th, 2008 at 1:07 pm and posted in Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed.
Search Punk Rock OR:
- This is a great summary of the takeaways from my #data #analytics talk 👇 twitter.com/ida_org/status… 1 day ago
- I had a wonderful time speaking with folks in government & defense about moving from #data to decisions using… twitter.com/i/web/status/1… 1 day ago
- RT @Supernetworks: CONGRATULATIONS to the 2019 @INFORMS Fellows!!! Thanks to Dr. Shmuel Oren for emailing the great news. #orms is fabulous… 2 days ago
- Congrats to Dr. Pascale Carayon @carayonp, the Leon & Elizabeth Janssen Professor of Industrial & Systems Engineeri… twitter.com/i/web/status/1… 2 days ago
- Hiring @j_cole_smith as dean?🤔 Easiest decision ever ✅ I’m very happy for Cole and Syracuse 😊 twitter.com/j_cole_smith/s… 3 days ago
- Good news from the @UWMadEngr faculty & staff meeting: 26% of our undergraduate students & 29% of our freshman class are women 🙌 3 days ago
Tagsanalytics art aviation blogs cheese coloring computing conferences cooking coupons criminal justice data decision analysis disasters education elections emergencies environmentalism & natural living finance football analytics grand challenges graph theory health healthcare higher education holidays homeland security humanitarian invited talks lightning lottery march madness marketing math programming mip MODA Olympics optimization ORMS blog-off OR publications PhD phd student advice pirates podcast and video Poisson politics probability public policy publishing queuing recipe risk communication science communication science fair secretary problem slidecasts social justice social networking sports star wars stochastic processes stopping problems teaching teaching with technology traffic Transportation TSP twitter vampires weather werewolves women work-life balance writing zombies