Fault Diagnosis of Wind Turbine Based on ELMD and FCM
نویسندگان
چکیده
In view of failure characteristics of wind turbine gear box, this paper puts forward a method for fault diagnosis based on the ensemble local means decomposition (ELMD) and fuzzy C-means clustering (FCM) method. Resolve the vibration signal of different fault state of high speed gear box by ELMD to obtain the PF component, and obtain its singular value, which is composed of known sample and test sample as the feature vector. Cluster the known sample by using the FCM clustering, recognize and classify the test sample. The experimental results show that the method for fault diagnosis based on ELMD and FCM clustering has good diagnosis results.
منابع مشابه
Variable Speed Wind Turbine DFIG Back to Back Converters Open-Circuit Fault Diagnosis by Using of Combiniation Signal-Based and Model-Based Methodes
Condition monitoring (CM) and Fault Detection (FD) of wind turbine lead to increase in reliability and availability of turbine. IGBT open circuit of wind turbine converter will bring about depletion in output current of converter and as a result, reduction in production of wind turbine power. In this research, back to back converter IGBT open - gate fault for wind turbine based on DFIG is detec...
متن کاملOn the development of a sliding mode observer-based fault diagnosis scheme for a wind turbine benchmark model
This paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. The methodology is based on a modified sliding mode observer (SMO) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. The faults are reconstructed using the equivalent output err...
متن کاملOn the development of a sliding mode observer-based fault diagnosis scheme for a wind turbine benchmark model
This paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. The methodology is based on a modified sliding mode observer (SMO) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. The faults are reconstructed using the equivalent output err...
متن کاملRobust Model- Based Fault Detection and Isolation for V47/660kW Wind Turbine
In this paper, in order to increase the efficiency, to reduce the cost and to prevent the failures of wind turbines, which lead to an extensive break down, a robust fault diagnosis system is proposed for V47/660kW wind turbine operated in Manjil wind farm, Gilan province, Iran. According to the acquired data from Iran wind turbine industry, common faults of the wind turbine such as sensor fault...
متن کاملImproving Data-based Wind Turbine Using Measured Data Foggy Method
The purpose of this paper is to improve the modeling of the data-driven wind turbine system that receives data from noise signals. Most of the data on industrial systems is noisely and data noise is inevitable and natural. The method and idea proposed in this paper, Data Fogging, significantly reduce the impact of noise on data-driven wind turbine system modeling, which is the basis of this met...
متن کامل