基于模型的双转子-支撑系统快速故障识别方法

陈景明; 蒋东翔; 徐洪志

基于模型的双转子-支撑系统快速故障识别方法

清华大学热能工程系电力系统和发电设备控制及仿真国家重点实验室, 北京 100084

基金项目: 国家自然科学基金（60979014）

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出版历程
- 收稿日期: 2012-11-07
- 刊出日期: 2013-12-28

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

State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China

摘要

摘要: 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.
- 双转子-支撑系统 /
- 故障识别 /
- 基于模型 /
- 质量不平衡 /
- 转轴弯曲
Abstract: 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.
- dual rotor-supporting system /
- fault identification /
- model-based /
- mass unbalance /
- shaft bow

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参考文献(15)

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