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Fault detection using state observers with unknown input, identified by orthogonal functions..pdf: 983641 bytes, checksum: e6af137b978ad0572a6d199a1eb398bd (MD5)Approved for entry into archive by Bruna Vieira ([email protected]) on 2013-11-25T19:32:37Z (GMT) No. of bitstreams: 1
Fault detection using state observers with unknown input, identified by orthogonal functions..pdf: 983641 bytes, checksum: e6af137b978ad0572a6d199a1eb398bd (MD5)Made available in DSpace on 2013-11-25T19:32:37Z (GMT). No. of bitstreams: 1
Fault detection using state observers with unknown input, identified by orthogonal functions..pdf: 983641 bytes, checksum: e6af137b978ad0572a6d199a1eb398bd (MD5)
Previous issue date: 2012In this work a methodology of fault analysis in mechanical systems was developed using Kalman Filter state observes, in which, the input to the observers are identified by Fourier, Legendre and Chebyshev orthogonal functions. The proportional-integral observer is presented to the unknown input identification, this observer can be able to find the unknown inputs of the system and these inputs are used to the fault detection by way Kalman Filter Observer. Here can be seen the methodology of parameters and force identification using only the response of the system thought orthogonal functions. The methodology developed is applied in a composed structure of shake tables from Mechanical Vibrations Laboratory
