Particle ingestion into a gas turbine can have serious effects on both performance and engine in-service reliability. Thus there exists a need for in situ monitoring and characterizing particulate matter entering an aircraft engine inlet for the purposes of engine damages estimation and prognosis. This paper presents the initial development of Ingested Debris Monitoring System (IDMS) signal processing method of characterizing the ingested particles. A theoretical analysis and simulation study were carried out to study the relationships between the characteristics of the ingested sand particles and the features of the IDMS signal both in frequency- and time-domain. A Finite-Element Modeling (FEM) for the IDMS Sensor was developed, then the validated FEM modeling was used for simulation experiments of particles ingestion under various conditions of different particle moving speeds, concentrations and charge-to-mass ratios. Results of the theoretical analysis and simulation study demonstrates the feasibility and effectiveness of the proposed method to provide real time information characterizing the size and concentration of ingested sand particles, and will serve as an impetus to carry out further research.

将颗粒吸入燃气轮机会对性能和发动机在役可靠性产生严重影响。因此，出于发动机损坏估计和预测的目的，需要对进入飞机发动机入口的颗粒物质进行原位监测和表征。本文介绍了表征摄入颗粒的摄入碎片监测系统 (IDMS) 信号处理方法的初步发展。进行了理论分析和仿真研究，研究了吸入的沙粒特征与IDMS信号在频域和时域上的特征之间的关系。开发了 IDMS 传感器的有限元建模 (FEM)，然后将经过验证的有限元模型用于不同粒子移动速度、浓度和荷质比的各种条件下的粒子摄入模拟实验。理论分析和模拟研究的结果证明了所提出方法的可行性和有效性，可提供表征吸入沙粒大小和浓度的实时信息，并将推动进一步研究。