2020
DOI: 10.3390/en13112861
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Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

Abstract: A fault detection innovation to wind turbines’ pitch actuators is an important subject to guarantee the efficiency wind energy conversion and long lifetime operation of these rotatory machines. Therefore, a recent and effective fault detection algorithm is conceived to detect faults on wind turbine pitch actuators. This approach is based on the interval observer framework theory that has proved to be an efficient tool to measure dynamic uncertainties in dynamical systems. It is evident that almost any fault in… Show more

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Cited by 12 publications
(10 citation statements)
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“…The main objective of this section is to experimentally validate our experimental platform in comparison to a real wind turbine related to its pitch system. It is well known that a wind turbine pitch system can be modeled by a linear and time-invariant secondorder system [8][9][10]. Therefore, the response time of a hydraulic pitch system for a wind turbine is set as τ s = ζw n 6.666 s [8][9][10].…”
Section: Experimental Correlation With a Real Wind Turbinementioning
confidence: 99%
See 3 more Smart Citations
“…The main objective of this section is to experimentally validate our experimental platform in comparison to a real wind turbine related to its pitch system. It is well known that a wind turbine pitch system can be modeled by a linear and time-invariant secondorder system [8][9][10]. Therefore, the response time of a hydraulic pitch system for a wind turbine is set as τ s = ζw n 6.666 s [8][9][10].…”
Section: Experimental Correlation With a Real Wind Turbinementioning
confidence: 99%
“…It is well known that a wind turbine pitch system can be modeled by a linear and time-invariant secondorder system [8][9][10]. Therefore, the response time of a hydraulic pitch system for a wind turbine is set as τ s = ζw n 6.666 s [8][9][10]. Thus, the settling time can be inferred as five times this value, which is approximately 33.33 s. Let us estimate our settling time in our emulator system by using the experimental data previously described and displayed in Figure 9.…”
Section: Experimental Correlation With a Real Wind Turbinementioning
confidence: 99%
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“…Lately, there have been reported many approaches on fault detection to wind turbine structures [1][2][3]. Some of them are based on intelligent computation [4,5], others on observers and control techniques [6,7], and others on image processing [8]; and so on [9]. In contrast, the design of fault diagnosis methods to these systems by using lowcost electronic components is not completely developed but some few reported (see a patent here).…”
Section: Introductionmentioning
confidence: 99%