A fault prediction method of refrigeration equipment based on neural network
The invention provides a fault prediction method of refrigeration equipment based on a neural network, comprising the following steps: acquiring a time series data set collected by N sensors sensitiveto the fault in the refrigeration equipment; The long-term and short-term neural network model is co...
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| creator | CAI MUYU XIAO JIERONG LI GUOHUA |
| description | The invention provides a fault prediction method of refrigeration equipment based on a neural network, comprising the following steps: acquiring a time series data set collected by N sensors sensitiveto the fault in the refrigeration equipment; The long-term and short-term neural network model is constructed according to the time series data set, and the actual forecasting results of the time series data set are obtained according to the long-term and short-term neural network model. Determining a fault discrimination model f (x) according to the time series data set; Acquiring a real data set of a part of the known fault conditions of the refrigeration equipment, and determining a fault threshold value according to the fault discrimination model f (x) and the real data set; The probability density of the actual predicted results is determined according to the fault discrimination model, and the health status of the refrigeration equipment is judged by comparing the probability density of the actual predicted |
| format | Patent |
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Determining a fault discrimination model f (x) according to the time series data set; Acquiring a real data set of a part of the known fault conditions of the refrigeration equipment, and determining a fault threshold value according to the fault discrimination model f (x) and the real data set; The probability density of the actual predicted results is determined according to the fault discrimination model, and the health status of the refrigeration equipment is judged by comparing the probability density of the actual predicted</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2019</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=20190205&DB=EPODOC&CC=CN&NR=109308519A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190205&DB=EPODOC&CC=CN&NR=109308519A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CAI MUYU</creatorcontrib><creatorcontrib>XIAO JIERONG</creatorcontrib><creatorcontrib>LI GUOHUA</creatorcontrib><title>A fault prediction method of refrigeration equipment based on neural network</title><description>The invention provides a fault prediction method of refrigeration equipment based on a neural network, comprising the following steps: acquiring a time series data set collected by N sensors sensitiveto the fault in the refrigeration equipment; The long-term and short-term neural network model is constructed according to the time series data set, and the actual forecasting results of the time series data set are obtained according to the long-term and short-term neural network model. 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | A fault prediction method of refrigeration equipment based on neural network |
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