Power electronic noise energy modeling method based on multi-scale wavelet transform network prediction

The invention relates to a power electronic noise energy modeling method based on multi-scale wavelet transform network prediction, which comprises the following steps: aiming at an operation scene of a power electronic system, after power electronic noise is collected, analyzing time-frequency char...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: NI GUOJIAN, SHU YILING, ZHOU ZHENYU, ZHANG SUNXUAN, WANG KE
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator NI GUOJIAN
SHU YILING
ZHOU ZHENYU
ZHANG SUNXUAN
WANG KE
description The invention relates to a power electronic noise energy modeling method based on multi-scale wavelet transform network prediction, which comprises the following steps: aiming at an operation scene of a power electronic system, after power electronic noise is collected, analyzing time-frequency characteristics and distribution characteristics of the noise, and adopting multi-scale wavelet transform to obtain an excitation function; according to the method, a deep neural network is utilized to perform noise parameter adjustment and weight updating, an optimal weight is obtained through parameter prediction and model optimization, and modeling is performed for different noise types, so that the reliability and stability of noise modeling are greatly improved, and the data transmission efficiency of an electric power communication system is improved. Besides, by adjusting scale factors in a multi-scale wavelet transform network prediction algorithm, frequency values of multi-noise features are obtained, and freq
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118051720A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118051720A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118051720A3</originalsourceid><addsrcrecordid>eNqNjbEKwkAQBdNYiPoP6wcEEkW0laBYiYW9nHcv8fBuN9ytBv_eFH6A1TQzzLToLjIgEQKsJmFvicVnEBip-1AUh-C5owh9iKO7yXAkTPEV1JfZmgAazHvslTQZzq2kSAwdJD2pT3DeqheeF5PWhIzFj7NieTxcm1OJXm7IvbHjUW_Nua531aberqr9-h_nCxq8QLg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Power electronic noise energy modeling method based on multi-scale wavelet transform network prediction</title><source>esp@cenet</source><creator>NI GUOJIAN ; SHU YILING ; ZHOU ZHENYU ; ZHANG SUNXUAN ; WANG KE</creator><creatorcontrib>NI GUOJIAN ; SHU YILING ; ZHOU ZHENYU ; ZHANG SUNXUAN ; WANG KE</creatorcontrib><description>The invention relates to a power electronic noise energy modeling method based on multi-scale wavelet transform network prediction, which comprises the following steps: aiming at an operation scene of a power electronic system, after power electronic noise is collected, analyzing time-frequency characteristics and distribution characteristics of the noise, and adopting multi-scale wavelet transform to obtain an excitation function; according to the method, a deep neural network is utilized to perform noise parameter adjustment and weight updating, an optimal weight is obtained through parameter prediction and model optimization, and modeling is performed for different noise types, so that the reliability and stability of noise modeling are greatly improved, and the data transmission efficiency of an electric power communication system is improved. Besides, by adjusting scale factors in a multi-scale wavelet transform network prediction algorithm, frequency values of multi-noise features are obtained, and freq</description><language>chi ; eng</language><subject>CALCULATING ; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; GENERATION ; PHYSICS ; SYSTEMS FOR STORING ELECTRIC ENERGY</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&amp;date=20240517&amp;DB=EPODOC&amp;CC=CN&amp;NR=118051720A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240517&amp;DB=EPODOC&amp;CC=CN&amp;NR=118051720A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>NI GUOJIAN</creatorcontrib><creatorcontrib>SHU YILING</creatorcontrib><creatorcontrib>ZHOU ZHENYU</creatorcontrib><creatorcontrib>ZHANG SUNXUAN</creatorcontrib><creatorcontrib>WANG KE</creatorcontrib><title>Power electronic noise energy modeling method based on multi-scale wavelet transform network prediction</title><description>The invention relates to a power electronic noise energy modeling method based on multi-scale wavelet transform network prediction, which comprises the following steps: aiming at an operation scene of a power electronic system, after power electronic noise is collected, analyzing time-frequency characteristics and distribution characteristics of the noise, and adopting multi-scale wavelet transform to obtain an excitation function; according to the method, a deep neural network is utilized to perform noise parameter adjustment and weight updating, an optimal weight is obtained through parameter prediction and model optimization, and modeling is performed for different noise types, so that the reliability and stability of noise modeling are greatly improved, and the data transmission efficiency of an electric power communication system is improved. Besides, by adjusting scale factors in a multi-scale wavelet transform network prediction algorithm, frequency values of multi-noise features are obtained, and freq</description><subject>CALCULATING</subject><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>GENERATION</subject><subject>PHYSICS</subject><subject>SYSTEMS FOR STORING ELECTRIC ENERGY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjbEKwkAQBdNYiPoP6wcEEkW0laBYiYW9nHcv8fBuN9ytBv_eFH6A1TQzzLToLjIgEQKsJmFvicVnEBip-1AUh-C5owh9iKO7yXAkTPEV1JfZmgAazHvslTQZzq2kSAwdJD2pT3DeqheeF5PWhIzFj7NieTxcm1OJXm7IvbHjUW_Nua531aberqr9-h_nCxq8QLg</recordid><startdate>20240517</startdate><enddate>20240517</enddate><creator>NI GUOJIAN</creator><creator>SHU YILING</creator><creator>ZHOU ZHENYU</creator><creator>ZHANG SUNXUAN</creator><creator>WANG KE</creator><scope>EVB</scope></search><sort><creationdate>20240517</creationdate><title>Power electronic noise energy modeling method based on multi-scale wavelet transform network prediction</title><author>NI GUOJIAN ; SHU YILING ; ZHOU ZHENYU ; ZHANG SUNXUAN ; WANG KE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118051720A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>GENERATION</topic><topic>PHYSICS</topic><topic>SYSTEMS FOR STORING ELECTRIC ENERGY</topic><toplevel>online_resources</toplevel><creatorcontrib>NI GUOJIAN</creatorcontrib><creatorcontrib>SHU YILING</creatorcontrib><creatorcontrib>ZHOU ZHENYU</creatorcontrib><creatorcontrib>ZHANG SUNXUAN</creatorcontrib><creatorcontrib>WANG KE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>NI GUOJIAN</au><au>SHU YILING</au><au>ZHOU ZHENYU</au><au>ZHANG SUNXUAN</au><au>WANG KE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Power electronic noise energy modeling method based on multi-scale wavelet transform network prediction</title><date>2024-05-17</date><risdate>2024</risdate><abstract>The invention relates to a power electronic noise energy modeling method based on multi-scale wavelet transform network prediction, which comprises the following steps: aiming at an operation scene of a power electronic system, after power electronic noise is collected, analyzing time-frequency characteristics and distribution characteristics of the noise, and adopting multi-scale wavelet transform to obtain an excitation function; according to the method, a deep neural network is utilized to perform noise parameter adjustment and weight updating, an optimal weight is obtained through parameter prediction and model optimization, and modeling is performed for different noise types, so that the reliability and stability of noise modeling are greatly improved, and the data transmission efficiency of an electric power communication system is improved. Besides, by adjusting scale factors in a multi-scale wavelet transform network prediction algorithm, frequency values of multi-noise features are obtained, and freq</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN118051720A
source esp@cenet
subjects CALCULATING
CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
GENERATION
PHYSICS
SYSTEMS FOR STORING ELECTRIC ENERGY
title Power electronic noise energy modeling method based on multi-scale wavelet transform network prediction
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T18%3A03%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=NI%20GUOJIAN&rft.date=2024-05-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118051720A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true