Online aircraft multi-source electric signal monitoring and fusion decision recognition method
The invention relates to an online aircraft multi-source electric signal monitoring and fusion decision recognition method. Comprising the following steps: when an aircraft signal needs to be subjected to multi-source electric signal monitoring and identification (101), carrying out data acquisition...
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| creator | CHEN JIA'AO LI PENGJIAO KAN YAN YANG SHUNKUN LI KE PANG LIPING WU HAOPENG |
| description | The invention relates to an online aircraft multi-source electric signal monitoring and fusion decision recognition method. Comprising the following steps: when an aircraft signal needs to be subjected to multi-source electric signal monitoring and identification (101), carrying out data acquisition, putting the data into a database (102), judging whether the data of a multi-source sensor is collected at the moment (103), and if not, preprocessing the data (104), extracting time sequence characteristics (105) and obtaining basic confidence allocation (106). If all sensor data collection is completed, state attribute decision fusion (107) is carried out, and finally health state judgment (108) is completed. Multi-source sensor data monitoring and fusion decision making are adopted, the confidence coefficient is improved compared with a single sensor, and the accuracy of health interpretation is improved.
本发明涉及一种在线飞行器多源电信号监测与融合决策识别方法。包括：当飞行器信号要进行多源电信号监测识别时(101)，进行数据采集，并放入数据库(102)，判断此时是否多源传感器的数据都已完成收集(103)，若还未完成 |
| format | Patent |
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本发明涉及一种在线飞行器多源电信号监测与融合决策识别方法。包括：当飞行器信号要进行多源电信号监测识别时(101)，进行数据采集，并放入数据库(102)，判断此时是否多源传感器的数据都已完成收集(103)，若还未完成</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230929&DB=EPODOC&CC=CN&NR=116821823A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230929&DB=EPODOC&CC=CN&NR=116821823A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHEN JIA'AO</creatorcontrib><creatorcontrib>LI PENGJIAO</creatorcontrib><creatorcontrib>KAN YAN</creatorcontrib><creatorcontrib>YANG SHUNKUN</creatorcontrib><creatorcontrib>LI KE</creatorcontrib><creatorcontrib>PANG LIPING</creatorcontrib><creatorcontrib>WU HAOPENG</creatorcontrib><title>Online aircraft multi-source electric signal monitoring and fusion decision recognition method</title><description>The invention relates to an online aircraft multi-source electric signal monitoring and fusion decision recognition method. Comprising the following steps: when an aircraft signal needs to be subjected to multi-source electric signal monitoring and identification (101), carrying out data acquisition, putting the data into a database (102), judging whether the data of a multi-source sensor is collected at the moment (103), and if not, preprocessing the data (104), extracting time sequence characteristics (105) and obtaining basic confidence allocation (106). If all sensor data collection is completed, state attribute decision fusion (107) is carried out, and finally health state judgment (108) is completed. Multi-source sensor data monitoring and fusion decision making are adopted, the confidence coefficient is improved compared with a single sensor, and the accuracy of health interpretation is improved.
本发明涉及一种在线飞行器多源电信号监测与融合决策识别方法。包括：当飞行器信号要进行多源电信号监测识别时(101)，进行数据采集，并放入数据库(102)，判断此时是否多源传感器的数据都已完成收集(103)，若还未完成</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjsOwjAMgOEuDAi4gzlAh7QS6ooqEBMszFSR4xRLiV3lcX8e4gBM_zf86-Zxk8BCYDlhsr5ArKFwm7UmJKBAWBIjZJ7FBogqXDSxzGDFga-ZVcAR8heJUOf38XGk8lS3bVbehky7XzfN_ny6j5eWFp0oLxZJqEzj1ZjD0Jmh64_9P88LpE49ZQ</recordid><startdate>20230929</startdate><enddate>20230929</enddate><creator>CHEN JIA'AO</creator><creator>LI PENGJIAO</creator><creator>KAN YAN</creator><creator>YANG SHUNKUN</creator><creator>LI KE</creator><creator>PANG LIPING</creator><creator>WU HAOPENG</creator><scope>EVB</scope></search><sort><creationdate>20230929</creationdate><title>Online aircraft multi-source electric signal monitoring and fusion decision recognition method</title><author>CHEN JIA'AO ; LI PENGJIAO ; KAN YAN ; YANG SHUNKUN ; LI KE ; PANG LIPING ; WU HAOPENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116821823A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHEN JIA'AO</creatorcontrib><creatorcontrib>LI PENGJIAO</creatorcontrib><creatorcontrib>KAN YAN</creatorcontrib><creatorcontrib>YANG SHUNKUN</creatorcontrib><creatorcontrib>LI KE</creatorcontrib><creatorcontrib>PANG LIPING</creatorcontrib><creatorcontrib>WU HAOPENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHEN JIA'AO</au><au>LI PENGJIAO</au><au>KAN YAN</au><au>YANG SHUNKUN</au><au>LI KE</au><au>PANG LIPING</au><au>WU HAOPENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Online aircraft multi-source electric signal monitoring and fusion decision recognition method</title><date>2023-09-29</date><risdate>2023</risdate><abstract>The invention relates to an online aircraft multi-source electric signal monitoring and fusion decision recognition method. Comprising the following steps: when an aircraft signal needs to be subjected to multi-source electric signal monitoring and identification (101), carrying out data acquisition, putting the data into a database (102), judging whether the data of a multi-source sensor is collected at the moment (103), and if not, preprocessing the data (104), extracting time sequence characteristics (105) and obtaining basic confidence allocation (106). If all sensor data collection is completed, state attribute decision fusion (107) is carried out, and finally health state judgment (108) is completed. Multi-source sensor data monitoring and fusion decision making are adopted, the confidence coefficient is improved compared with a single sensor, and the accuracy of health interpretation is improved.
本发明涉及一种在线飞行器多源电信号监测与融合决策识别方法。包括：当飞行器信号要进行多源电信号监测识别时(101)，进行数据采集，并放入数据库(102)，判断此时是否多源传感器的数据都已完成收集(103)，若还未完成</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Online aircraft multi-source electric signal monitoring and fusion decision recognition method |
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