作　　者： ; ; ; ;

机构地区： 太原理工大学信息工程学院

出　　处： 《组合机床与自动化加工技术》 2014年第3期78-81,共4页

摘　　要： 智能故障诊断和单一频谱分析技术由于具有一定的优势,在机械故障诊断领域有了一定的发展,但单智能故障诊断方法因自身的缺陷在应用时受阻,而单一频谱分析技术的故障诊断准确率又不是很高,因此针对各种智能故障诊断方法自身存在的缺陷及其单一频谱分析在旋转机械故障诊断中精度不高的缺点,提出一种多频谱分析的旋转机械故障定位算法,利用多种频谱分析机制对旋转机械轴故障进行诊断,多频谱分析的旋转机械故障定位的准确度为80.9%,较单一频谱分析的准确度提高了5.2%,实验结果表明了该方法在旋转机械故障定位中的可行性和有效性。 With the advantages of intelligent fault diagnosis and single-spectrum analysis,it have developing in the field of mechanical fault diagnosis.But because the fault of them,the development of them have been resistance to endure.To overcome the drawback of intelligent fault diagnosis and single frequency spectrum for rotating machinery faults diagnosis,a fault location algorithm based on multiple frequency spectrum analysis is presented in the paper,which uses the analysis mechanism of multiple frequency spectrums to fault diagnosis for rotating machinery.Experimental result shows that the diagnostic accuracy of the proposed is 80.9％,compared with the single frequency spectrum the accuracy improves 5.2％,and verifies the feasibility and effectiveness of the method in this paper.

关 键 词： 旋转机械 故障诊断 频谱分析 综合故障

领　　域： [机械工程] [金属学及工艺]