DIALOGS: Diagnostics with Logistic Support for System Supervision

Millar, Robert John; Baines, M.; Bechtold, B.; Goldschmidt, Eberhard; Kinnaert, Michel; Macq, Fr.; Martini, E.; Sauter, Dominique

doi:10.1016/s1474-6670(17)45409-7

Cited by 6 publications

(2 citation statements)

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“…This project is established under the MAINE (Maintaining Availability IN Europe) umbrella program of the European cooperative research and development framework of EUREKA. One can find more information on the project in [13]. where , is a finite integer, is a rspm of degree , and is a orthogonal matrix.…”

Section: Discussionmentioning

confidence: 99%

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A complete procedure for residual generation and evaluation with application to a heat exchanger

Peng

Youssouf

Arte

et al. 1997

IEEE Trans. Contr. Syst. Technol.

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In this paper, we will build up the link between parity relation design and residual evaluation via generalized likelihood ratio (GLR) test. To this end, the so-called singlesensor parity relation (SSPR) and single-actuator parity relation (SAPR) are refined for stochastic systems in frequency domain by including a whitening filter. This result is also extended to the generalized parity relations in order to detect any failure mode. The proposed design procedure not only achieves failure detection and isolation, but also generates a special residual form which can be evaluated by a GLR test. Besides, a comprehensive summary of the GLR test with rules of thumb to select the design parameters is provided. The effectiveness of the proposed procedure is illustrated by processing measured data from a pilot heat exchanger to detect sensor faults, and by performing a simulation study to detect actuator faults.

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Section: Discussionmentioning

confidence: 99%

“…Theorem 1: For a transfer matrix which is proper and of full-column rank, there exists a polynomial matrix , called a unitary interactor matrix, which verifies (13) and (14) where is a nonsingular matrix. The proof of Theorem 1 is given in Appendix A.…”

Section: Refined Single-sensor Parity Relationsmentioning

confidence: 99%