![]() ![]() However, there is few information on its applicability and limitations regarding the Concrete Capacity Design (CCD) method of designing anchorage to concrete, which lies at the core of all the design practices. A breadth of literature is available interpreting the AE activity to monitor the structural health of elements and materials, quantify their damage, and predict failure. The Acoustic Emission (AE) phenomenon is extensively studied for beams, columns and bridges. Furthermore, significant deviations from the average acoustic-emission signal were detected up to ∼ 50 % (130 h) before the test stop and are possibly related to sub-surface damage initiation and might result in an earlier damage detection in the future. ![]() In addition, the system has shown that a damaged surface can be detected at least ∼ 4 % (8 h, regarding the time to failure) earlier than by using the vibration-based system. The investigations show a sensitivity of the acoustic-emission system towards lubricating conditions. ![]() Furthermore, a comparison regarding detection times is carried out with traditional vibration-based condition monitoring systems, with a focus on premature bearing failures such as white etching cracks. In this paper and within this context, an acoustic-emission-based condition monitoring system is applied to roller bearing test rigs with the aim of identifying critical operating conditions before bearing failures occurs. Roller bearing failures in wind turbines' gearboxes lead to long downtimes and high repair costs, which could be reduced by the implementation of a predictive maintenance strategy. ![]()
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