基于模型的双转子-支撑系统快速故障识别方法

建立了双转子-支撑系统的有限元模型，模拟了质量不平衡故障和局部轴弯曲故障下的振动信号.根据有限元模型，提出了基于模型的双转子-支撑系统故障识别方法，依次通过单一故障遍历、双故障遍历和三故障遍历方法，实现了故障快速准确识别.仿真结果表明：该方法能够准确识别单一故障和多故障，同时确定故障发生的位置、严重程度和相位情况，优化了故障识别过程，理想情况下减少了98.9%的计算量，加快了故障识别的速度.此外，比较了添加了不同信噪比噪音信号的诊断结果，诊断结果相对误差控制在1%左右，表明该方法具有良好的抗噪声干扰的能力.

Efficient fault identification method for dual rotor-supporting system using model-based method

The finite element model of dual rotor-supporting system was constructed.Based on the finite element model,vibration signal under the faults of mass unbalance and local shaft bow was simulated.A model-based method was developed to identify the fault in the dual rotor-supporting system.1-fault search method,2-fault search method and 3-fault search method were utilized to identify the fault efficiently and accurately.The validation results show that the method could identify single fault and multi-concurrent faults accurately and confirm the fault location,severity and phase simultaneously.This method optimizes fault search process,which is used to decreases 98.9% calculation amount in the ideal situation,and accelerates fault identification.Besides,if comparing with the identification results by adding different adding noises,the relative error is around 1% which validates good robustness to noise.