Engine self-tuning methods and systems
A method is provided for controlling an engine. The method may include generating a first neural network model indicative of interrelationships between a plurality of sensing parameters and a plurality of engine operational parameters. The method may also include generating a second neural network m...
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| creator | JAYACHANDRAN AMIT |
| description | A method is provided for controlling an engine. The method may include generating a first neural network model indicative of interrelationships between a plurality of sensing parameters and a plurality of engine operational parameters. The method may also include generating a second neural network model indicative of interrelationships between the plurality of engine operational parameters and at least a desired emission level. The method may also include providing, by the first neural network model, a first set of values of the plurality of engine operational parameters to the second neural network model and to the engine. Further, the method may include determining, by the second neural network model, values of adjusting parameters of the first neural network model based on the values of the plurality of engine operational parameters, the desired emission level, and an actual emission level of the engine. |
| format | Patent |
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The method may include generating a first neural network model indicative of interrelationships between a plurality of sensing parameters and a plurality of engine operational parameters. The method may also include generating a second neural network model indicative of interrelationships between the plurality of engine operational parameters and at least a desired emission level. The method may also include providing, by the first neural network model, a first set of values of the plurality of engine operational parameters to the second neural network model and to the engine. Further, the method may include determining, by the second neural network model, values of adjusting parameters of the first neural network model based on the values of the plurality of engine operational parameters, the desired emission level, and an actual emission level of the engine.</description><language>eng</language><subject>BLASTING ; COMBUSTION ENGINES ; CONTROL OR REGULATING SYSTEMS IN GENERAL ; CONTROLLING ; CONTROLLING COMBUSTION ENGINES ; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS ; HEATING ; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS ; LIGHTING ; MECHANICAL ENGINEERING ; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS ; PHYSICS ; REGULATING ; SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES ; WEAPONS</subject><creationdate>2007</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=20071004&DB=EPODOC&CC=US&NR=2007233326A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25551,76302</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20071004&DB=EPODOC&CC=US&NR=2007233326A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JAYACHANDRAN AMIT</creatorcontrib><title>Engine self-tuning methods and systems</title><description>A method is provided for controlling an engine. 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The method may include generating a first neural network model indicative of interrelationships between a plurality of sensing parameters and a plurality of engine operational parameters. The method may also include generating a second neural network model indicative of interrelationships between the plurality of engine operational parameters and at least a desired emission level. The method may also include providing, by the first neural network model, a first set of values of the plurality of engine operational parameters to the second neural network model and to the engine. Further, the method may include determining, by the second neural network model, values of adjusting parameters of the first neural network model based on the values of the plurality of engine operational parameters, the desired emission level, and an actual emission level of the engine.</abstract><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| subjects | BLASTING COMBUSTION ENGINES CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING CONTROLLING COMBUSTION ENGINES FUNCTIONAL ELEMENTS OF SUCH SYSTEMS HEATING HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS LIGHTING MECHANICAL ENGINEERING MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES WEAPONS |
| title | Engine self-tuning methods and systems |
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