Abstract
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 it Condition Monitoring techniques that detecting energy loss are very difficult if not possible to use. However, in the case of Acoustic Emission (AE) technique this issue is partly overcome and is well suited for detecting very small energy release rates. Acoustic Emission (AE) as a technique is more than 50 years old and in this new technology the sounds associated with the failure of materials were detected. Acoustic wave is a non-stationary signal which can discover elastic stress waves in a failure component, capable of online monitoring, and is very sensitive to the fault diagnosis. In this paper the history and background of discovering and developing AE is discussed, different ages of developing AE which include Age of Enlightenment (1950-1967), Golden Age of AE (1967-1980), Period of Transition (1980-Present). In the next section the application of AE condition monitoring in machinery process and various systems that applied AE technique in their health monitoring is discussed. In the end an experimental result is proposed by QUT test rig which an outer race bearing fault was simulated to depict the sensitivity of AE for detecting incipient faults in low speed high frequency machine.
Highlights
The efficiency of the wind turbine performance could be improved due to the implementing of different maintenance practices and they can reduce the maintenance cost if they are continues and automated
Various methods have been applied in fault detection of wind turbines such as vibration analysis [1], [2], [3], [4], [5], oil analysis [6], [7], [8], noise analysis [5], [9], data analysis [9], [10], [11], [12], [13] and acoustic emission (AE) analysis [14], [15]
Acoustic Emission (AE) as a technique is more than 50 years old and in this new technology the sounds associated with the failure of materials were detected
Summary
The efficiency of the wind turbine performance could be improved due to the implementing of different maintenance practices and they can reduce the maintenance cost if they are continues and automated. Research in fault diagnosis and condition monitoring is in high importance. Various methods have been applied in fault detection of wind turbines such as vibration analysis [1], [2], [3], [4], [5], oil analysis [6], [7], [8], noise analysis [5], [9], data analysis [9], [10], [11], [12], [13] and acoustic emission (AE) analysis [14], [15]. Acoustic Emission (AE) as a technique is more than 50 years old and in this new technology the sounds associated with the failure of materials were detected. There were several other research projects conducted during this period which accelerated ongoing work throughout the world
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