Events
DMS Statistics and Data Science Seminar |
| Time: Feb 04, 2021 (02:00 PM) |
| Location: ZOOM |
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Details: Speaker: Steven Nixon (Penn State University) Title: Condition Based Maintenance in the Big Data Era Abstract: Operating and maintaining the equipment necessary to make everything from electricity to toilet paper is a complex undertaking, and the last thing a plant manager needs is a machine breaking down unexpectedly. One strategy for avoiding these expensive shutdowns is condition based maintenance (CBM), the art and science of predicting machinery failures before they happen. By collecting the right data and doing the right analyses, any number of different breakdowns can be detected long before they actually force a machine to stop working. As the internet of things spreads throughout the world's manufacturing facilities, project managers are turning to statistics and machine learning more and more often to draw conclusions on the condition of their equipment. Applying modern data science to these sources isn’t straightforward – although enormous amounts of data are being generated, rarely are fully dense, rectangular matrices created. Successful deployment requires high levels of clarity to win over skeptical maintenance personnel, and there is very little cross-over between the physics-based maintenance and engineering world and the fast-moving data science community. Successfully bridging these differences, however, would represent a massive leap forwards for manufacturing worldwide.
Roberto Molinari is inviting you to a scheduled Auburn University Zoom e-meeting. If you're a new participant, we have a quick start guide here: https://aub.ie/zoomquickstart
Topic: DMS - Data Science Seminar Time: This is a recurring meeting Meet anytime Join from PC, Mac, Linux, iOS or Android: Password: 098550 Connect using Computer/Device audio if possible. Or Telephone: Meeting ID: 832 9968 1626 Dial: +1 301 715 8592 (US Toll) or +1 312 626 6799 (US Toll)
Or an H.323/SIP room system: H.323: 162.255.37.11 (US West) or 162.255.36.11 (US East) Meeting ID: 832 9968 1626 Password: 098550
SIP: 83299681626@zoomcrc.com Password: 098550 |