A Parametric Design Method for Optimal Quick Diagnostic Software
文献类型：期刊论文
| 作者 | Yi, Xiao-jian1,2,3; Hou, Peng3 |
| 刊名 | SENSORS
 |
| 出版日期 | 2019-02-02 |
| 卷号 | 19期号:4页码:13 |
| 关键词 | early diagnosis time-critical application early classification feature selection |
| ISSN号 | 1424-8220 |
| DOI | 10.3390/s19040910 |
| 英文摘要 | Fault diagnostic software is required to respond to faults as early as possible in time-critical applications. However, the existing methods based on early diagnosis are not adequate. First, there is no common standard to quantify the response time of a fault diagnostic software to the fault. Second, none of these methods take into account how the objective to improve the response time may affect the accuracy of the designed fault diagnostic software. In this work, a measure of the response time is provided, which was formulated using the time complexity of the algorithm and the signal acquisition time. Model optimization was built into the designed method. Its objective was to minimize the response time. The constraint of the method is to guarantee diagnostic accuracy to no less than the required accuracy. An improved feature selection method was used to solve the optimization modeling. After that, the design parameter of the optimal quick diagnostic software was obtained. Finally, the parametric design method was evaluated with two sets of experiments based on real-world bearing vibration data. The results demonstrated that optimal quick diagnostic software with a pre-defined accuracy could be obtained through the parametric design method. |
| 资助项目 | National Natural Science Foundation[71801196] ; National Major Project from Shanghai Nuclear Engineering Research & Design Institute[2017ZX06002006] ; Open Research Program from CAS Key Laboratory of Solar Activity in National Astronomical Observatories[KLSA201803] ; China Postdoctoral Science Foundatuion[2018M631606] ; [41404060103] |
| WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000460829200161 |
| 出版者 | MDPI |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/34190]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Hou, Peng |
| 作者单位 | 1.China North Vehicle Res Inst, Dept Overall Technol, Beijing 100072, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Beijing Inst Technol, Sch Mechatron Engn, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yi, Xiao-jian,Hou, Peng. A Parametric Design Method for Optimal Quick Diagnostic Software[J]. SENSORS,2019,19(4):13. |
| APA | Yi, Xiao-jian,&Hou, Peng.(2019).A Parametric Design Method for Optimal Quick Diagnostic Software.SENSORS,19(4),13. |
| MLA | Yi, Xiao-jian,et al."A Parametric Design Method for Optimal Quick Diagnostic Software".SENSORS 19.4(2019):13. |
入库方式： OAI收割
来源：数学与系统科学研究院
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