Offshore wind energy is catching increasing worldwide interest. However, access and maintenance offshore can be difficult and will be more costly than onshore, and hence, availability is correspondingly lower. As a re...
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Offshore wind energy is catching increasing worldwide interest. However, access and maintenance offshore can be difficult and will be more costly than onshore, and hence, availability is correspondingly lower. As a result, there is a growing interest in wind turbine condition monitoring with condition-based rather than responsive and scheduled maintenance. A non-linear state estimation technique (NSET) model is presented here to model a healthy wind turbine gearbox using stored historical data. These data capture the inter-relationship between the model input and output parameters. The state vectors comprising the data should cover as much as turbine operational range, including the extreme conditions in order to obtain an accurate model performance. A model so constructed can be applied to assess the operational data. Welch's t-test is employed in the fault detection algorithm, together with suitable time series filtering, to identify incipient anomalies in the turbine gearbox before they develop into catastrophic faults. Two case studies based on 10-minute supervisory control and data acquisition data from a commercial wind farm are presented to demonstrate the model's effectiveness. Comparison is made with neural network modelling, and the NSET approach is demonstrated to be superior.
The fault diagnosis system of the control system is one of important subsystems for a manned carrier rocket which can alarm and start its escape program in case of any faults. Its key part is the faultdetection algor...
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ISBN:
(纸本)9781424435296
The fault diagnosis system of the control system is one of important subsystems for a manned carrier rocket which can alarm and start its escape program in case of any faults. Its key part is the fault detection algorithm. In the full paper, we explain in some detail the fault diagnosis system and the application of the extended Kalman filter (EKF) to the faultdetection of the control system of the carrier rocket;in this abstract, we just add some pertinent remarks to naming the first two sections of the full paper. In section 1, we present the discrete EKF. In section 2, we establish the 3-DOF mathematical model of the carrier rocket and discretize the mathematical model and obtain the EKF model. We point out that the fault in the control system usually causes changes in the parameters of the control system. But the EKF is not robust to the changes and its residual errors increase or even disperse when the parameters suddenly change. The analysis of the amplitude of residual error can determine whether the control system has some faults. Finally we give a numerical simulation example to verify the effectiveness of the fault detection algorithm. The simulation results, shown in Figs. I and 2 in the full paper, indicate preliminarily that the state estimates of the EKF deviate from the measurement values and that the filtering residual error increases rapidly, indicating that there are some faults in the control system.
The fault diagnosis system of the control system is one of important subsystems for a manned carrier rocket which can alarm and start its escape program in case of any *** key part is the faultdetection *** the full ...
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The fault diagnosis system of the control system is one of important subsystems for a manned carrier rocket which can alarm and start its escape program in case of any *** key part is the faultdetection *** the full paper,we explain in some detail the fault diagnosis system and the application of the extended Kalman filter (EKF) to the faultdetection of the control system of the carrier rocket;in this abstract,we just add some pertinent remarks to naming the first two sections of the full *** section 1,we present the discrete *** section 2,we establish the 3-DOF mathematical model of the carrier rocket and discretize the mathematical model and obtain the EKF *** point out that the fault in the control system usually causes changes in the parameters of the control *** the EKF is not robust to the changes and its residual errors increase or even disperse when the parameters suddenly *** analysis of the amplitude of residual error can determine whether the control system has some *** we give a numerical simulation example to verify the effectiveness of the faultdetection *** simulation results,shown in Figs.1 and 2 in the full paper,indicate preliminarily that the state estimates of the EKF deviate from the measurement values and that the filtering residual error increases rapidly,indicating that there are some faults in the control system.
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