Presentation on theme: "Structural health monitoring under changing environmental conditions Xueyan Zhao Ziqiang Lang University of Sheffield UKACC PhD Presentation Showcase."— Presentation transcript:
Structural health monitoring under changing environmental conditions Xueyan Zhao Ziqiang Lang University of Sheffield UKACC PhD Presentation Showcase
Slide 2 Main contents Background and motivation Methodology Experimental case study on wind turbine Conclusions
UKACC PhD Presentation Showcase Slide 3 Background and motivation Structures, such as wind turbine and bridge, are prone to suffering damage due to long service time, improper use or hostile working environment. Structural health monitoring (SHM) refers to the process of implementing damage detection and identification technique for structural systems.
UKACC PhD Presentation Showcase Slide 4 Background and motivation SHM can be achieved by measuring various signals related to the structure health status (such as vibration, acoustic emission), such that the change of the features extracted from measurements can indicate a developing structural damage. This is similar to the phenomenon that a doctor always concludes that a person is unwell if his body temperature is higher than normal one.
Background and motivation Which factors can cause the change of the features extracted from measurements? Damage? Environmental factors: Temperature? Humidity? How to distinguish the normal structural changes due to variations in system environmental or operating conditions from the changes which are induced by damage? UKACC PhD Presentation Showcase Slide 5
Experimental study on wind turbine UKACC PhD Presentation Showcase Slide 7
Experimental study on wind turbine UKACC PhD Presentation Showcase Slide 8 On the top of gearbox At the back of generator Bin indexAE 1Vibration 1AE 2Vibration 2 Bin Bin Bin Bin Bin Indicating there is a condition change
UKACC PhD Presentation Showcase Slide 9 Conclusions The technique has been applied to analyse the field data collected from AE and vibration sensors fitted in an operating wind turbine; the results have demonstrated the performance of the new technique. After elimination the effect of environmental and operating parameters on the change of the features extracted from the sensor measurements, the technique can indicate the structural health status effectively.