Residual Evaluation Based on Threshold Computation

Author:

Wang ZhenhuaORCID,Shen YiORCID

Publisher

Springer Nature Singapore

Reference11 articles.

1. Emami-Naeini, A., Akhter, M.M., Rock, S.M.: Effect of model uncertainty on failure detection: the threshold selector. IEEE Trans. Autom. Control 33(12), 1106–1115 (1988)

2. Le, K., Huang, Z., Moon, C. W., Tzes, A.: Adaptive thresholding-a robust fault detection approach. In: Proceedings of the 36th IEEE Conference on Decision and Control, pp. 4490–4495. San Diego, USA (1997)

3. Juričić, D., Žele, M.: Robust detection of sensor faults by means of a statistical test. Automatica 38(4), 737–742 (2002)

4. Ding, S.X., Zhang, P., Frank, P.M., Ding, E.L.: Threshold calculation using LMI-technique and its integration in the design of fault detection systems. In: Proceedings of the 42nd IEEE International Conference on Decision and Control, pp. 469–474. Maui, USA (2003)

5. Puig, V., Stancu, A., Escobet, T., Nejjari, F., Quevedo, J., Patton, J.: Passive robust fault detection using interval observers: application to the DAMADICS benchmark problem. Control. Eng. Pract. 14(6), 621–633 (2006)

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