大型离心压缩机叶轮流致振动机理与智能诊断

针对大型离心压缩机的流致振动导致叶轮疲劳失效问题，及叶轮故障准确识别的紧迫需求，通过建模、仿真和试验测试，研究不同工况下非定常流场的物理特征与作用于叶片表面的流动载荷演化规律及表征方法；建立高效叶轮频域随机振动响应分析方法及计算平台，研究非定常流对叶轮的激振机理及振动响应随流动特性的变化规律；研究非定常流状态下高速旋转的叶片表面压力脉动、叶片振动的原位测试方法，对理论分析和仿真结果进行验证。阐明非定常流动激励下的叶轮疲劳失效机理，提出基于非定常流激励下的叶轮安全校核方法。研究表征叶轮故障的微弱信号特征提取方法，发展基于多源信息融合的稀疏矩阵表征方法，建立基于深度学习的叶轮故障智能诊断方法。本项目将获得大型离心式压缩机叶轮的非定常流动特性、考虑非定常激励的叶轮动力学分析与校核方法、先进测试方法、叶轮故障的智能诊断等理论与方法，为其高安全可靠运行提供技术与理论支撑，并可在叶轮机械中推广应用。

Faced with the challenges of deterioration of flow induced vibration, and fault identification for large centrifugal compressor impellers, this project is aimed to investigate physics characteristics of unsteady flow field, time-spatial evolution and characterization methods of aerodynamic loading acting on the impeller blades under different operating conditions. These will be achieved by geometrical model establishment, numerical simulations, and experimental tests. Analysis methods and a calculation software platform of high-efficiency impeller frequency random vibration response will be constructed. Transformation law for unsteady flow excitation mechanism and random vibration response with flow characteristics are investigated. Surface pressure fluctuations on high rotating blades, and in situ blade vibration measurement are investigated under the conditions of unsteady flow. These will contribute to theory analysis and simulation result verification. This project expounds the fatigue failure mechanism of impeller under unsteady flow excitation, and puts forward the method of safety checking for impeller based on unsteady excitation. Feature extraction method of weak signal characterizing blade crack are investigated. Sparse matrix representation method based on multi-Source information monitoring will be developed. In the end, an intelligent diagnosis method for impeller fault based on deep learning will be constructed. Unsteady flow characteristic, impeller dynamic analysis and design under unsteady flow excitation, the advanced measurement and experimental methods, and intelligent fault diagnosis methods for impeller can be achieved for large centrifugal compressor impellers through the study of this project. The results obtained can provide effective support for impeller design with high-performance and high reliability. It can also be applied on turbomachinery.