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To improve the reliability of wind turbines, various condition monitoring systems (CMSs) have been developed and most of them transmit data using wired communication channels. Recently, wireless sensor networks (WSNs) have been used to transmit data in wind turbine CMS due to the low cost and easy deployment feature of WSNs. However, since wind turbines are installed in harsh environments, the sensors...
Sparse representation of massive condition monitoring signals is an effective approach to save the cost for data storage and transmission in fault diagnosis of wind turbines. This paper explores a sparse representation method over a new dictionary designed particularly for bearing vibration signals of wind turbines operating under varying-speed conditions. First, the time-varying shaft rotating frequency...
Fault diagnosis of drive train gearboxes is a prominent challenge in wind turbine condition monitoring. Many machine learning algorithms have been applied to gearbox fault diagnosis. However, many of the current machine learning algorithms did not provide satisfactory fault diagnostic results due to their shallow architectures. Recently, a class of machine learning models with deep architectures called...
This paper proposes a new fault detection and identification framework for drivetrain gearboxes of wind turbines equipped with doubly-fed induction generators (DFIGs) based on the fusion of DFIG stator and rotor current signals. First, the characteristic frequencies of gearbox faults in DFIG stator and rotor currents are analyzed. Different time- and frequency-domain features of gearbox faults in...
Gearboxes are widely used in rotary machines, such as wind turbines, automobiles, and helicopters. Failures of gearboxes contribute to a significant portion of the total failures and downtime in these machines. Gearbox fault diagnosis is an effective means to prevent catastrophic failures, improve the reliability, and reduce the downtime and maintenance cost of these machines. Vibration-based approaches...
Gearbox faults are a leading reliability issue in wind turbines. Generator current-based methods have been successfully used in gearbox fault diagnosis and have shown advantages over the traditional vibration-based techniques in terms of implementation, cost, and reliability. This paper proposed a new generator stator current-based fault diagnostic method for the gearboxes in doubly-fed induction...
This paper proposes a novel vibration and current information fusion-based fault diagnostic method for drivetrain gearboxes. First, two multiclass support vector machines (SVMs) are designed to output the probabilities of different fault (or health condition) classes according to the input features extracted from a vibration signal and a current signal collected from the condition monitoring system,...
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