文章詳目資料
Journal of Computers EIMEDLINEScopus
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| 篇名 | Fault Diagnosis of Rotating Machinery Based on Dimensionless Index and Two-sample Distribution Test |
|---|---|
| 卷期 | 31:3 |
| 作者 | Nai-quan Su 、 Xiao Li 、 Qing-hua Zhang 、 Chong-lin Huang |
| 頁次 | 001-010 |
| 關鍵字 | dimensionless indexes 、 experimental verification 、 fault diagnosis 、 two-sample distribution test 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 202006 |
| DOI | 10.3966/199115992020063103001 |
中文摘要
英文摘要
Dimensionless indexes are used to identify the faults type of rotating machinery, there is an overlap between the dimensionless index ranges of each fault, and result in poor fault diagnosis. So in this paper, an algorithm is proposed a dimensionless indexes and two-sample distribution test. This method are compared the cumulative probability distribution function between the known fault samples and the tested fault samples, and find out the maximum statistical distance. According to the similar degree of the two samples, and the tested fault sample is able to be diagnosed. The method is applied in the simulation experiment of petrochemical unit show that the method is simple and effective, and it has the strong fault identification ability to extract the fault feature accurately. This provides the guidance for rotating machinery fault diagnosis and other large equipment.
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