By: Bala Deshpande, Conference Co-Chair, Predictive Analytics World for Manufacturing 2016
In anticipation of his upcoming Predictive Analytics World for Manufacturing conference presentation, Using Vehicle Digital Bus Data for Predicting Failure of Line Haul Trucks, we 
interviewed Jeffrey Banks, Department Head, Complex Systems Engineering & Monitoring at The Applied Research Laboratory at The Pennsylvania State University. View the Q-and-A below and glimpse what’s in store for the PAW Manufacturing conference.
Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing?
A: The availability of high quality data is the key component of conducting useful predictive analytics.
Q: In your work with predictive analytics, what behavior do your models predict?
A: Our work focuses on predicting electrical and mechanical component and system failures to reduce unscheduled maintenance and increase operational availability of critical assets.
Q: How does predictive analytics deliver value at your organization? What is one specific way in which it actively drives decisions?
A: We are helping the Department of Defense to implement predictive analytic solutions to enable them to transition to a data driven decision making organization.
Q: Can you describe a successful result, such as the predictive lift (or accuracy) of your model or the ROI of an analytics initiative?
A: We are still in the development phase of our work, so we do not have any impact results yet.
Q: What surprising discovery have you unearthed in your data?
A: The big surprise is that though we are limited to using low sample rate time series data (~1 sample/second) we are able to demonstrate preliminary predictive results.
Q: Sneak preview: Please tell us a take-away that you will provide during your talk at Predictive Analytics World for Manufacturing.
A: We will show preliminary predictive results for the work that we are doing for component and system failure for military ground vehicles.
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Don't miss Jeffrey’s conference presentation, Using Vehicle Digital Bus Data for Predicting Failure of Line Haul Trucks, at PAW Manufacturing, on Tuesday, June 21, 2016 from 11:20 am to 12:05 pm. Click here to register for attendance.
By: Bala Deshpande, Founder, Simafore and Conference Co-Chair of Predictive Analytics World for Manufacturing.