| 卢俊杰，黄金泉，鲁峰.涡扇发动机故障诊断中粒子滤波改进方法[J].航空发动机,2020,46(2):41-46 |
| 涡扇发动机故障诊断中粒子滤波改进方法 |
| Improved Method of Particle Filter in Turbofan Engine Fault Diagnosis |
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| DOI： |
| 中文关键词: 故障诊断 粒子滤波 伪协方差 自适应似然分布 涡扇发动机 |
| 英文关键词:fault diagnosis particle filter pseudo covariance adaptive likelihood distribution turbofan engine |
| 基金项目:国家自然科学基金（51276087）、江苏省研究生科研创新计划（KYCX170281）、南京航空航天大学博士学位论
文创新与创优基金（BCXJ17-02）资助 |
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| 摘要点击次数: 1407 |
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| 中文摘要: |
| 针对标准粒子滤波算法诊断步数多且诊断结果噪声水平高的问题，提出伪协方差和自适应似然分布结合的改进粒子滤
波算法。该算法通过使用伪协方差代替了粒子集协方差，保证采样得到的粒子能够更真实地反映突变情况，减少诊断步数；通过对
似然分布自适应调整，增加其与先验分布的重叠区域，提高抽样率，增加有效粒子数，降低诊断结果噪声水平。发动机健康参数估计
仿真结果表明：与标准粒子滤波算法相比，改进的粒子滤波算法能使诊断速度提高约27%，诊断精度提高约38%，有效地减少了突变
故障的诊断步数，并显著降低了诊断结果的噪声水平。 |
| 英文摘要: |
| An improved particle filter algorithm combining pseudo covariance and adaptive likelihood distribution was proposed for
standard particle filter algorithms with multiple steps and high noise level of diagnostic results. By replacing the particle set covariance with
pseudo covariance，the algorithm ensured that the sampled particles could reflect the mutation more realistically and reduce the number of
diagnostic steps. By adaptive adjustment of the likelihood distribution，the overlapping area with the prior distribution was increased，the
sampling rate and the effective particle number were increased，and the noise level of the diagnosis result was reduced. The simulation
results of engine health parameter estimation show that compared with the standard particle filter algorithm，the improved particle filter
algorithm can improve the diagnostic speed by about 27% and the diagnostic accuracy by about 38%，which effectively reduces the number
of diagnosis steps of sudden faults and significantly reduces the noise level of the diagnostic results. |
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