Fault diagnosis of sampled data systems

• Author / Creator

  Mostafavi, Somayeh

• This thesis is concerned with fault detection of sampled data systems with special emphasis on the time varying characteristics of the system. A discretization
  method based on the norm invariant transformation is proposed for time invariant systems with aperiodic sampler and time varying systems with periodic sampler.
  The outcome of this transformation for both cases is a discrete time varying system.
  This thesis is concerned with fault detection of sampled data systems with special
  emphasis on the time varying characteristics of the system. A discretization method based on the norm invariant transformation is proposed for time invariant systems with aperiodic sampler and time varying systems with periodic sampler. The outcome of this transformation for both caess is a discrete time varying system.
  Finally, the fault detection method with norm invariant transformation is used for fault diagnosis of network control system with network induced delay.

• Subjects / Keywords

  • Time varying
  • Sampled data
  • Fault detection
  • Aperiodic sampler

• Graduation date

  Spring 2012

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R3GP7R

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.