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A Parametric Design Method for Optimal Quick Diagnostic Software
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412844/ https://www.ncbi.nlm.nih.gov/pubmed/30795599 http://dx.doi.org/10.3390/s19040910 |
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author | Yi, Xiao-jian Hou, Peng |
author_facet | Yi, Xiao-jian Hou, Peng |
author_sort | Yi, Xiao-jian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6412844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64128442019-04-03 A Parametric Design Method for Optimal Quick Diagnostic Software Yi, Xiao-jian Hou, Peng Sensors (Basel) Article 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. MDPI 2019-02-21 /pmc/articles/PMC6412844/ /pubmed/30795599 http://dx.doi.org/10.3390/s19040910 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yi, Xiao-jian Hou, Peng A Parametric Design Method for Optimal Quick Diagnostic Software |
title | A Parametric Design Method for Optimal Quick Diagnostic Software |
title_full | A Parametric Design Method for Optimal Quick Diagnostic Software |
title_fullStr | A Parametric Design Method for Optimal Quick Diagnostic Software |
title_full_unstemmed | A Parametric Design Method for Optimal Quick Diagnostic Software |
title_short | A Parametric Design Method for Optimal Quick Diagnostic Software |
title_sort | parametric design method for optimal quick diagnostic software |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412844/ https://www.ncbi.nlm.nih.gov/pubmed/30795599 http://dx.doi.org/10.3390/s19040910 |
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