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March 29, 2010

Mtg: Pervasive Learning: Diagnosis and Management of Production Systems

by @ 3:23 pm. Filed under ALL, Computers/Software, Electronics Design, Engineering Mgmt, Semiconductors
 

MONDAY April 12, 2010
SCV Signal Processing Chapter
Speaker: Julia Liu, Palo Alto Research Center (PARC)
Time: Pizza and networking at 6:30 PM; Presentation at 7:00 PM
Cost: none
Place: National Semiconductor, Building E, Conference Room, 2900 Semiconductor Dr, Santa Clara
RSVP: not required
Web: ewh.ieee.org/r6/scv/sps

Modern production systems are optimized for productivity, but component faults or deterioration often occur in practice.? Diagnosis and health management of a production system are thus important. They can be formulated as a statistical inference problem, where observations are obtained to update the knowledge regarding component conditions. Prior work often puts the production system in halt and switch to trouble-shooting/learning mode to gather observations; other work uses passive observations during production.
In this talk, we introduce the novel paradigm of pervasive learning, which constructs informative production plans that simultaneously achieve production goals while uncovering additional information.? We show two concrete examples of pervasive learning (diagnosis of single-fault systems, and continuous model adaptation) and explain the information criteria that are used to select production plans.

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