Fault diagnosis of rolling bearing based on fractal theory
被引:0
作者:
Yang, B
论文数: 0引用数: 0
h-index: 0
机构:
Jilin Univ, Coll Machinery & Engn, Changchun 130025, Peoples R ChinaJilin Univ, Coll Machinery & Engn, Changchun 130025, Peoples R China
Yang, B
[1
]
Lu, SA
论文数: 0引用数: 0
h-index: 0
机构:
Jilin Univ, Coll Machinery & Engn, Changchun 130025, Peoples R ChinaJilin Univ, Coll Machinery & Engn, Changchun 130025, Peoples R China
Lu, SA
[1
]
Zhang, ZD
论文数: 0引用数: 0
h-index: 0
机构:
Jilin Univ, Coll Machinery & Engn, Changchun 130025, Peoples R ChinaJilin Univ, Coll Machinery & Engn, Changchun 130025, Peoples R China
Zhang, ZD
[1
]
机构:
[1] Jilin Univ, Coll Machinery & Engn, Changchun 130025, Peoples R China
来源:
ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 8
|
2005年
关键词:
fault diagnosis;
nonlinearity;
rolling bearing;
fractal dimension;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Fractal geometry is a new method to apply in analyzing fault signals. After researching the characteristic of rolling bearings, a new quantificational definition about fault signals of rolling bearings is proposed. Based on fractal theory and the conception of box dimension it can describe both non-stationary and non-linear signals of vibration signals generated by rolling bearings. Experiment results shows that the box dimensions are different in evidence because of the difference of dynamic mechanism. The fault pattern recognitions of rolling bearings are effective and accurate by the new method of box dimension.