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A Parametric Design Method for Optimal Quick Diagnostic Software
Yi, Xiao-jian1,2,3; Hou, Peng1
2019-02-02
Source PublicationSENSORS
ISSN1424-8220
Volume19Issue:4Pages:13
AbstractFault 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.
Keywordearly diagnosis time-critical application early classification feature selection
DOI10.3390/s19040910
Language英语
Funding ProjectNational 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 Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS IDWOS:000460829200161
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/34191
Collection中国科学院数学与系统科学研究院
Corresponding AuthorHou, Peng
Affiliation1.Beijing Inst Technol, Sch Mechatron Engn, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.China North Vehicle Res Inst, Dept Overall Technol, Beijing 100072, Peoples R China
Recommended Citation
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.
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