2026-09-19T18:39:18Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/85118 2023-07-11 col_2142_5131 col_2142_14800 com_2142_5130 com_2142_14799 com_2142_234

Namachchivaya, N. Sri Park, Jun Hyun 2015-09-25T22:34:28Z 2015-09-25T22:34:28Z 10000-01-01 2009 2009 "Our result is applied to the electric power system whose daily operations must be guarded against failures due to natural disasters, rogue attacks and other unexpected conditions. One of the central challenges in current power system operations is to develop a better estimation scheme which is able to combine large dimensional systems with large volumes of data within a given response time that meets operational demands for health monitoring. We show that our scheme can be effectively used for this significant and challenging problem by providing a near real-time condition assessment for ""extreme events""." Made available in DSpace on 2015-09-25T22:34:28Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3392429.pdf: 1740901 bytes, checksum: c1720cec79f433221f05572308ca01b4 (MD5) Previous issue date: 2009 Embargo set by: Seth Robbins for item 86399 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 124 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009. http://hdl.handle.net/2142/85118 (MiAaPQ)AAI3392429 eng Applied Mathematics Nonlinear Filtering: Dimensional Reduction and Particle Methods text Aerospace Engineering Aerospace Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.