Periodically repeated signal identification and accidental anomaly detection method
The invention discloses a periodic repetition signal identification and accidental anomaly detection method, which comprises the following steps of: sampling standard sine waves and triangular waves, and constructing a comparison set for signal identification; the method comprises the following step...
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| creator | YE PENG TIAN SHULIN CHEN LI QIU DUYU ZHANG QINCHUAN ZHANG RUICHEN HUANG WUHUANG YANG KUOJUN WANG HOUJUN |
| description | The invention discloses a periodic repetition signal identification and accidental anomaly detection method, which comprises the following steps of: sampling standard sine waves and triangular waves, and constructing a comparison set for signal identification; the method comprises the following steps of: acquiring a to-be-identified sample signal, normalizing the sample signal, intercepting a test sequence according to a zero crossing point, and comparing the test sequence with a sampling sequence in a comparison set to complete identification and accidental anomaly detection of the sample signal.
本发明公开了一种周期重复信号识别和偶发异常检测方法，先对标准的正弦波和三角波进行采样，构建用于信号识别的比对集；再采集待识别的样本信号，然后对样本信号进行归一化处理，根据过零点截取测试序列，最后利用测试序列与对比集中的采样序列进行比对，完成样本信号的识别和偶发异常检测。 |
| format | Patent |
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本发明公开了一种周期重复信号识别和偶发异常检测方法，先对标准的正弦波和三角波进行采样，构建用于信号识别的比对集；再采集待识别的样本信号，然后对样本信号进行归一化处理，根据过零点截取测试序列，最后利用测试序列与对比集中的采样序列进行比对，完成样本信号的识别和偶发异常检测。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; PHYSICS ; TESTING</subject><creationdate>2024</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=20240910&DB=EPODOC&CC=CN&NR=118626979A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240910&DB=EPODOC&CC=CN&NR=118626979A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YE PENG</creatorcontrib><creatorcontrib>TIAN SHULIN</creatorcontrib><creatorcontrib>CHEN LI</creatorcontrib><creatorcontrib>QIU DUYU</creatorcontrib><creatorcontrib>ZHANG QINCHUAN</creatorcontrib><creatorcontrib>ZHANG RUICHEN</creatorcontrib><creatorcontrib>HUANG WUHUANG</creatorcontrib><creatorcontrib>YANG KUOJUN</creatorcontrib><creatorcontrib>WANG HOUJUN</creatorcontrib><title>Periodically repeated signal identification and accidental anomaly detection method</title><description>The invention discloses a periodic repetition signal identification and accidental anomaly detection method, which comprises the following steps of: sampling standard sine waves and triangular waves, and constructing a comparison set for signal identification; the method comprises the following steps of: acquiring a to-be-identified sample signal, normalizing the sample signal, intercepting a test sequence according to a zero crossing point, and comparing the test sequence with a sampling sequence in a comparison set to complete identification and accidental anomaly detection of the sample signal.
本发明公开了一种周期重复信号识别和偶发异常检测方法，先对标准的正弦波和三角波进行采样，构建用于信号识别的比对集；再采集待识别的样本信号，然后对样本信号进行归一化处理，根据过零点截取测试序列，最后利用测试序列与对比集中的采样序列进行比对，完成样本信号的识别和偶发异常检测。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>MEASURING</subject><subject>MEASURING ELECTRIC VARIABLES</subject><subject>MEASURING MAGNETIC VARIABLES</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi0EKwjAQRbNxIeod4gFcVKHapRTFlQi6L0PmtwbSSWhm4-0NxQO4-vDe-0vzfGDykb2jED52QgIp2GY_CAXrGaK-L1Z9FEvClpybabEkcaTyYijcHIzQd-S1WfQUMja_XZnt9fJqbzuk2CEnchBo196r6lTv6-bYnA__NF-1bTk7</recordid><startdate>20240910</startdate><enddate>20240910</enddate><creator>YE PENG</creator><creator>TIAN SHULIN</creator><creator>CHEN LI</creator><creator>QIU DUYU</creator><creator>ZHANG QINCHUAN</creator><creator>ZHANG RUICHEN</creator><creator>HUANG WUHUANG</creator><creator>YANG KUOJUN</creator><creator>WANG HOUJUN</creator><scope>EVB</scope></search><sort><creationdate>20240910</creationdate><title>Periodically repeated signal identification and accidental anomaly detection method</title><author>YE PENG ; TIAN SHULIN ; CHEN LI ; QIU DUYU ; ZHANG QINCHUAN ; ZHANG RUICHEN ; HUANG WUHUANG ; YANG KUOJUN ; WANG HOUJUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118626979A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>MEASURING</topic><topic>MEASURING ELECTRIC VARIABLES</topic><topic>MEASURING MAGNETIC VARIABLES</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>YE PENG</creatorcontrib><creatorcontrib>TIAN SHULIN</creatorcontrib><creatorcontrib>CHEN LI</creatorcontrib><creatorcontrib>QIU DUYU</creatorcontrib><creatorcontrib>ZHANG QINCHUAN</creatorcontrib><creatorcontrib>ZHANG RUICHEN</creatorcontrib><creatorcontrib>HUANG WUHUANG</creatorcontrib><creatorcontrib>YANG KUOJUN</creatorcontrib><creatorcontrib>WANG HOUJUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YE PENG</au><au>TIAN SHULIN</au><au>CHEN LI</au><au>QIU DUYU</au><au>ZHANG QINCHUAN</au><au>ZHANG RUICHEN</au><au>HUANG WUHUANG</au><au>YANG KUOJUN</au><au>WANG HOUJUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Periodically repeated signal identification and accidental anomaly detection method</title><date>2024-09-10</date><risdate>2024</risdate><abstract>The invention discloses a periodic repetition signal identification and accidental anomaly detection method, which comprises the following steps of: sampling standard sine waves and triangular waves, and constructing a comparison set for signal identification; the method comprises the following steps of: acquiring a to-be-identified sample signal, normalizing the sample signal, intercepting a test sequence according to a zero crossing point, and comparing the test sequence with a sampling sequence in a comparison set to complete identification and accidental anomaly detection of the sample signal.
本发明公开了一种周期重复信号识别和偶发异常检测方法，先对标准的正弦波和三角波进行采样，构建用于信号识别的比对集；再采集待识别的样本信号，然后对样本信号进行归一化处理，根据过零点截取测试序列，最后利用测试序列与对比集中的采样序列进行比对，完成样本信号的识别和偶发异常检测。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES PHYSICS TESTING |
| title | Periodically repeated signal identification and accidental anomaly detection method |
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