Wind Turbines Condition Monitoring and Fault Identification using Acoustic Emission Testing Method

Online Nonintrusive Condition Monitoring and Fault Detection for Wind Turbines

Acoustic condition monitoring of wind turbines: tip faults

As a significant and growing source of the world’s energy, wind turbine reliability is becoming a major concern. At least two fault detection techniques for condition monitoring of wind turbine blades have been reported in early literature, i.e. acoustic emissions and optical strain sensors. These require off-site measurement. The work presented here offers an alternative non-contact fault dete...

Acoustic Emission Condition Monitoring: an Application for Wind Turbine Fault Detection

Low speed rotating machines which are the most critical components in drive train of wind turbines are often menaced by several technical and environmental defects. These factors contribute to mount the economic requirement for Health Monitoring and Condition Monitoring of the systems. When a defect is happened in such system result in reduced energy loss rates from related process and due to i...

Simultaneous Fault Detection and Sensor Selection for Condition Monitoring of Wind Turbines

Abstract: Data collected from the supervisory control and data acquisition (SCADA) system are used widely in wind farms to obtain operation and performance information about wind turbines. The paper presents a three-way model by means of parallel factor analysis (PARAFAC) for wind turbine fault detection and sensor selection, and evaluates the method with SCADA data obtained from an operational...

Wind Turbine Condition Monitoring and Fault Diagnosis using Wavelet Transforms

Some large wind turbines use a synchronous generator directly-coupled to the turbine. This paper considers condition monitoring and diagnosis of mechanical and electrical faults in such a variable speed machine. The application of wavelet transforms is investigated because of the disadvantages of conventional spectral techniques in processing instantaneous turbine signals. In this paper a new c...