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Details for article 43 of 83 found articles
| Title: |
Model-free fault detection: a spectral estimation approach based on coherency functions |
| Author: |
Previdi, F. Parisini, T. |
| Appeared in: |
International journal of control |
| Paging: | Volume 74 (2001) nr. 11 pages 1107-1117 |
| Year: |
2001-07-20 |
| Contents: |
This paper presents a model?free fault detection technique based on the use of a specific spectral analysis tool, namely, squared coherency functions. The fault?free dynamic behaviour of the plant considered is described by a stochastic linear state equation, where the stochastic part is due to unpredictable external disturbances. A fault is assumed to be a nonlinear dynamic perturbation of the linear plant dynamics. The detection of the fault is achieved by on?line monitoring the estimates of a squared coherency function that is sensitive to the occurrences of non-linear events affecting the plant dynamics. A theoretical analysis of the fault-detectability issue is made and an original algorithm for a low?bias estimation of the squared coherency function is exploited to minimize the false-alarm rate. Finally, experimental results obtained by using real data concerning the three-tank benchmark problem are reported, showing the effectiveness of the proposed methodology. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 43 of 83 found articles
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