2010 Conference on Control and Fault-Tolerant Systems (SysTol) 2010
DOI: 10.1109/systol.2010.5676049
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Fault detection in a laboratory helicopter employing a wavelet-based analytical redundancy approach

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Cited by 10 publications
(11 citation statements)
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References 27 publications
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“…Waschburger et al [88] presented an experimental validation of wavelet-based analytical redundancy technique on a three-DOF UH platform. The results indicate that the technique under consideration can successfully detect a fault with small magnitude.…”
Section: Two-and Three-dof Uh Experimental Platformsmentioning
confidence: 99%
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“…Waschburger et al [88] presented an experimental validation of wavelet-based analytical redundancy technique on a three-DOF UH platform. The results indicate that the technique under consideration can successfully detect a fault with small magnitude.…”
Section: Two-and Three-dof Uh Experimental Platformsmentioning
confidence: 99%
“…Since their different characteristics, FD/FTC methods for these three systems focus on different (a) Manned helicopter [3] (b) Unmanned helicopter [73] (c) 2DOF experimental platform [64] (d) 3DOF experimental platform [88] problems. This paper will provide a review for the three different experimental platforms with associated information on the developed FD and FTC techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Li et al [36] defined an effective gear fault location detection methodology using Acoustic Emission (AE) sensors for splitting torque gearbox by analyzing the arrival time of the AE bursts to determine the gear fault location. Waschburger et al [37] presented an experimental validation of wavelet-based analytical redundancy technique on a 3DOF UH platform. Besides wavelet technique, Kaliappan et al [38] detected the faults by measuring the rate of change of data with respect to time.…”
Section: A Analytical Model-based Approachesmentioning
confidence: 99%
“…Thus, the area under the ROC curve (AUC) has been introduced as an alternative performance measure [5]. AUC is also used as a metric for fault detection performance of wavelet-based detection techniques [6].…”
Section: Introductionmentioning
confidence: 99%