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University of Illinois at Urbana-Champaign
Equivalent Deterministic and Stochastic Models for Periodic Time Series
Abstract
dc:descriptionMany time series encountered in engineering applications are strongly periodic in the sense that they exhibit a recurrent pattern every S time units. Outdoor temperature, electrical consumption, the roughness of machined surfaces, and machine tool chatter vibration are a few examples. This periodic behavior is caused by the dynamics of the underlying physical systems that give rise to the time series. Engineers are interested in analyzing these time series in order to characterize, forecast, and/or control the underlying physical systems.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Mechanical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 1986
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- O'connor, Michael John
Subjects
dc:subject × 1Identifiers
dc:identifier.*- Identifier
- (UMI)AAI8610966
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/70137