Institutional Repository of Coll Elect & Informat Engn
Permissible area analyses of measurement errors with required fault diagnosability performance | |
Jiang, Dong-Nian1,2; Li, Wei1,2 | |
2019-11 | |
发表期刊 | Sensors (Switzerland) |
ISSN | 14248220 |
卷号 | 19期号:22 |
摘要 | Fault diagnosability is the basis of fault diagnosis. Fault diagnosability evaluation refers to whether there is enough measurable information in the system to support the rapid and reliable detection of a fault. However, due to unavoidable measurement errors in a system, a quantitative evaluation index of system fault diagnosability is inadequate. In order to overcome the adverse effects of measurement errors, improve the accuracy of the quantitative evaluation of fault diagnosability, and improve the safety level of the system, a method for a permissible area analysis of measurement errors for a quantitative evaluation of fault diagnosability is proposed in this paper. Firstly, in order for the residuals obey normal distribution, a design method of the permissible area of measurement errors based on the Kullback–Leibler divergence (KLD) is given. Secondly, two key problems in calculating the KLD are solved by sparse kernel density estimation and the Monte Carlo method. Finally, the feasibility and validity of the method are analyzed through a case study. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. |
关键词 | Measurement errors Monte Carlo methods Normal distribution Adverse effect Analysis of measurements Fault diagnosability Kullback Leibler divergence Quantitative evaluation Reliable detection Sparse kernels |
DOI | 10.3390/s19224880 |
收录类别 | EI ; SCIE |
语种 | 英语 |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000503381500059 |
出版者 | MDPI AG |
EI入藏号 | 20194607670306 |
EI主题词 | Fault detection |
EI分类号 | 922.1 Probability Theory ; 922.2 Mathematical Statistics |
来源库 | Compendex |
分类代码 | 922.1 Probability Theory - 922.2 Mathematical Statistics |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/114288 |
专题 | 电气工程与信息工程学院 |
通讯作者 | Jiang, Dong-Nian |
作者单位 | 1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China; 2.Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Gansu, Peoples R China |
第一作者单位 | 电气工程与信息工程学院 |
通讯作者单位 | 电气工程与信息工程学院 |
第一作者的第一单位 | 电气工程与信息工程学院 |
推荐引用方式 GB/T 7714 | Jiang, Dong-Nian,Li, Wei. Permissible area analyses of measurement errors with required fault diagnosability performance[J]. Sensors (Switzerland),2019,19(22). |
APA | Jiang, Dong-Nian,&Li, Wei.(2019).Permissible area analyses of measurement errors with required fault diagnosability performance.Sensors (Switzerland),19(22). |
MLA | Jiang, Dong-Nian,et al."Permissible area analyses of measurement errors with required fault diagnosability performance".Sensors (Switzerland) 19.22(2019). |
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