Fault prediction method of distributed sensor networks system
It is difficult to use a general method to implement fault prediction of distributed sensor networks, a kind of fault prediction method based on knowledge discovery was put forward. Firstly, the method establishes mathematical description system of time information, in order to realize the knowledge...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2016-05-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.05.008 |
| _version_ | 1827988351152553984 |
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| author | LU Ping ZHENG Wei |
| author_facet | LU Ping ZHENG Wei |
| author_sort | LU Ping |
| collection | DOAJ |
| description | It is difficult to use a general method to implement fault prediction of distributed sensor networks, a kind of fault prediction method based on knowledge discovery was put forward. Firstly, the method establishes mathematical description system of time information, in order to realize the knowledge discovery based on causal index; then, the method uses knowledge reasoning mechanism of causality relationship to realize fault prediction of distributed sensor networks system. A fault prediction experiment of gas drainage monitoring system was carried out, the experiment results prove that the method can accurately predict fault of distributed sensor networks system, and has advantages of simple algorithm, utility and high-efficiency. |
| first_indexed | 2024-04-10T00:02:15Z |
| format | Article |
| id | doaj.art-686d97e9ceba465ab6f9dda12836535b |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:02:15Z |
| publishDate | 2016-05-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-686d97e9ceba465ab6f9dda12836535b2023-03-17T01:42:05ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2016-05-01425323510.13272/j.issn.1671-251x.2016.05.008Fault prediction method of distributed sensor networks systemLU Ping0ZHENG Wei1CCTEG Chongqing Research Institute, Chongqing 400039, ChinaCollege of Optoelectronic Engineering, Chongqing University, Chongqing 400044, ChinaIt is difficult to use a general method to implement fault prediction of distributed sensor networks, a kind of fault prediction method based on knowledge discovery was put forward. Firstly, the method establishes mathematical description system of time information, in order to realize the knowledge discovery based on causal index; then, the method uses knowledge reasoning mechanism of causality relationship to realize fault prediction of distributed sensor networks system. A fault prediction experiment of gas drainage monitoring system was carried out, the experiment results prove that the method can accurately predict fault of distributed sensor networks system, and has advantages of simple algorithm, utility and high-efficiency.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.05.008gas drainage monitoringdistributed sensor networksfault predictionknowledge discovery |
| spellingShingle | LU Ping ZHENG Wei Fault prediction method of distributed sensor networks system Gong-kuang zidonghua gas drainage monitoring distributed sensor networks fault prediction knowledge discovery |
| title | Fault prediction method of distributed sensor networks system |
| title_full | Fault prediction method of distributed sensor networks system |
| title_fullStr | Fault prediction method of distributed sensor networks system |
| title_full_unstemmed | Fault prediction method of distributed sensor networks system |
| title_short | Fault prediction method of distributed sensor networks system |
| title_sort | fault prediction method of distributed sensor networks system |
| topic | gas drainage monitoring distributed sensor networks fault prediction knowledge discovery |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.05.008 |
| work_keys_str_mv | AT luping faultpredictionmethodofdistributedsensornetworkssystem AT zhengwei faultpredictionmethodofdistributedsensornetworkssystem |