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Vibration and temperature analysis are the two dominating condition monitoring techniques applied to fault detection of bearing failures in wind turbine generators. Relative movement between the bearing inner ring and generator axle is one of the most severe failure modes in terms of secondary damages and development. Detection of bearing creep can be achieved reliably based on continuous trending...
Order tracking analysis has been demonstrated to be suitable for wind turbine gearbox fault diagnosis, but in traditional way, a keyphasor signal is indispensable. In some real cases, due to harsh working environment and installation space limitation, it's hard to acquire this keyphasor signal. To overcome this problem, raw speed profile is used in this paper to synthesize the keyphasor, by assuming...
Wind energy is a renewable energy that growing fast across the whole world, but its subsystems experience premature failures during its 20-year design life, leading downtime and costly maintain and repair. Since gearbox is the subsystem who causes the longest downtime, condition monitoring (CM) of the gearbox to prevent catastrophic failures is critical to wind energy. Based on vibration analysis,...
Doubly fed induction generators (DFIGs) are the most popular configuration met in the wind energy sector occupying approximately 65% of the total market share. Condition monitoring of wind turbine generators is performed based on vibration data collected from accelerometers mounted on the drive end and non-drive end bearings, meeting the requirements of numerous turbine operators for condition based...
Bearing is the most frequently used component in a wind turbine, and its' faults would lead to completely stall of a machine. Therefore, bearing Fault Diagnosis is an important part of condition monitoring in a wind turbine. This paper presented a High Frequency Resonance (HFR) method to implement bearing fault detection and fault diagnosis. This technique extracted the amplitude and frequency modulations...
The most commonly used components in a wind turbine are bearings which failure could lead to malfunction and ultimately complete stall of a mission-critical equipment. Hence, bearing Fault Detection is an imperative part of preventive maintenance procedures of a wind turbine. This paper presents a Free Parameter method to implement bearing fault diagnosis. This method extracts the amplitude and frequency...
This paper discusses the theory of higher-order statistical analysis and its application in gear pitting fault feature extraction from gearbox vibration signals analysis of a large scale wind turbine generator system (WTGS). The bispectrum was used to inhibit the Gaussian noise in measured vibration signals and to reveal the fault related non-Gaussian information. We propose to divide the dual-frequency...
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