|
Activity Number:
|
161
|
|
Type:
|
Roundtables
|
|
Date/Time:
|
Monday, July 30, 2007 : 12:30 PM to 1:50 PM
|
|
Sponsor:
|
Section on Physical and Engineering Sciences
|
| Abstract - #308228 |
|
Title:
|
Sensor-Based Field Reliability Data Analysis: Opportunities and Challenges
|
|
Author(s):
|
Necip Doganaksoy*+
|
|
Companies:
|
General Electric
|
|
Address:
|
GE GRC, Niskayuna, NY, 12309,
|
|
Keywords:
|
Product reliability ; Automated monitoring ; Multivariate modeling
|
|
Abstract:
|
The advances in sensor technologies have enabled manufacturers to track their products remotely and gather useful information to assess their health. The resulting data provides significant opportunities, as well as challenges, to statisticians in automated monitoring to identify impending failures. This is in sharp contrast to the recent past when field reliability data were mainly comprised of after-the-fact failure information. Owing to large size and high dimension of sensor-based data, data mining and multivariate statistical methods are particularly well-suited to tackle the technical challenges. In this roundtable, I will share my own experiences from recent projects involving analysis and modeling of sensor data gathered from field units. Participants are encouraged to bring their examples to stimulate a useful exchange.
|
- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
Back to the full JSM 2007 program |
