首页|柴油机多源冲击振动信号稀疏表示及其故障诊断应用

柴油机多源冲击振动信号稀疏表示及其故障诊断应用

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柴油机在船舶、核电、车辆等领域应用广泛,对其进行监测与故障诊断具有重要意义.随着设备健康监测技术的发展,数据存储压力日益显著,信号稀疏表示成为一种有效的解决措施.针对柴油机振动信号具有强冲击、非平稳的特点,提出一种基于分解信号(Decomposed Signal,DS)字典的柴油机多源冲击信号稀疏表示方法,并以稀疏系数作为特征应用于柴油机气门间隙异常故障诊断.首先,采用变分时域分解(Variational Time-domain Decomposition,VTDD)对信号进行处理获得分解信号.然后,将分解信号组成DS字典.接着,通过正交匹配追踪(Orthogonal Matching Pursuit,OMP)算法实现原信号和分解冲击信号的稀疏表示.最后,以稀疏系数作为特征进行柴油机气门间隙异常故障诊断.测试结果表明,所提方法具有较好的应用效果,故障诊断准确率高于90%.
Sparse Representation of Diesel Engine Multi-source Impact Signals and Its Application to Fault Diagnosis
Diesel engines are widely used in different fields such as ships,nuclear power plants and vehicles,and their monitoring and fault diagnosis is of great significance.With the development of equipment health monitoring,the pressure of data storage increases significantly,and sparse signal representation has become an effective solution.In this paper,a sparse representation method for diesel engine multi-source impact signals is proposed based on decomposition signal(DS)dictionary.And the sparse coefficient is applied as a feature to diagnose abnormal faults in diesel engine valve clearances.Firstly,the variational time-domain decomposition(VTDD)is used to process the signals for acquiring the decomposition signals.Then,the decomposed signals are integrated to form the DS dictionary.And the orthogonal matching pursuit(OMP)algorithm is used to realize the sparse representation of the original signal and the decomposed impact signals.Finally,the sparse coefficients are used as features for diagnosing abnormal faults in diesel engine valve clearances.Test results show that the proposed method has a good application effect with a fault diagnosis accuracy above 90%,indicating its effectiveness in solving the challenges of diesel engine monitoring and fault diagnosis.

fault diagnosisdiesel enginevibration and impactsignal processingsparse representation

赵南洋、茆志伟、张进杰、江志农

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北京化工大学 发动机健康监控及网络化教育部重点实验室,北京 100029

故障诊断 柴油机 振动与冲击 信号分解 稀疏表示

国家自然科学基金资助项目国家自然科学基金资助项目

5210134352201351

2024

噪声与振动控制
中国声学学会

噪声与振动控制

CSTPCD北大核心
影响因子:0.622
ISSN:1006-1355
年,卷(期):2024.44(4)
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