However,traditional vibration monitoring methods are constrained by the high-temperature environment of aircraft engines,which results in difficulty of enhancement of vibration sensor detection precision. So,a selfpowered vibration sensor based on triboelectric and piezoelectric effects is proposesd. By selecting an optimal ratio of sensitive layer materials,a balance between electrical output performance and stability in high-temperature output is achieved. Under optimal vibration conditions,output of triboelectric device 5. 1 V and 0. 42 μA,whereas piezoelectric device is 1. 8 V and 0. 3 μA. Based on the superior electrical output of property self-powered sensor and with the help of machine learning algorithms,the developed sensor can accurately identify gear faults such as pitting and tooth breakage,achieving an accuracy of up to 98. 2％ . Experimental results demonstrate that the developed self-powered vibration sensor can effectively monitor the operational status of aircraft gears,offering critical reference value for intelligent engine health management of aircraft engine.
维普
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