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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Doraiswami, R. Diduch, C.P. Kuehner, J. |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., New Brunswick Univ., Fredericton, NB, Canada (Doraiswami, R.) |
| Abstract | A new approach to the failure detection and isolation problem or FDI is presented that combines parametric and nonparametric methods. The system is modeled as an interconnection of components that are subject to parametric failures. The FDI scheme is implemented in three stages. A diagnostic model is first developed to characterize the evolution of a feature vector and influence matrix as parameters in each component are subject to failures. Next a residual is generated using a parity equation and it is shown that the residual is a linear function of the change in the diagnostic parameters. In the third stage, isolation of faults is accomplished by finding the maximum correlation between the residual and estimates of the residual generated using a number of failure hypotheses. The development of the diagnostic model, a technique for identifying the diagnostic model using input-output measurements and its application in FDI is a significant contribution of the paper. |
| Sponsorship | American Autom. Control Council |
| Starting Page | 470 |
| Ending Page | 475 |
| File Size | 480171 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780364953 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2001.945589 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-06-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Fault detection Equations Least squares methods Vectors Transfer functions Noise measurement Fault diagnosis Filters Solid modeling Attenuation measurement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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