Wind turbine fault detection using acoustic, vibration, and electrical signals
Systems and methods for detecting faults are provided. A method for determining a fault condition for a component of a drivetrain in a wind turbine can include receiving an acoustic signal from an acoustic signal measuring device. The method can further include receiving a vibration signal from a vi...
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| creator | He, Lijun Hao, Liwei Unnikrishnan, Jayakrishnan Matthews, Brett Alexander |
| description | Systems and methods for detecting faults are provided. A method for determining a fault condition for a component of a drivetrain in a wind turbine can include receiving an acoustic signal from an acoustic signal measuring device. The method can further include receiving a vibration signal from a vibration signal measuring device. The method can further include analyzing the acoustic signal to determine an analyzed acoustic signal. The method can further include analyzing the vibration signal to determine an analyzed vibration signal. The method can further include determining a fault condition for the component based at least in part on the analyzed acoustic signal and analyzed vibration signal. The fault condition can further be determined based at least in part on an analyzed electrical signal. |
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A method for determining a fault condition for a component of a drivetrain in a wind turbine can include receiving an acoustic signal from an acoustic signal measuring device. The method can further include receiving a vibration signal from a vibration signal measuring device. The method can further include analyzing the acoustic signal to determine an analyzed acoustic signal. The method can further include analyzing the vibration signal to determine an analyzed vibration signal. The method can further include determining a fault condition for the component based at least in part on the analyzed acoustic signal and analyzed vibration signal. The fault condition can further be determined based at least in part on an analyzed electrical signal.</description><language>eng</language><subject>BLASTING ; HEATING ; LIGHTING ; MACHINES OR ENGINES FOR LIQUIDS ; MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES ; MEASURING ; MEASURING ELECTRIC VARIABLES ; MEASURING MAGNETIC VARIABLES ; MECHANICAL ENGINEERING ; OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR ; PHYSICS ; PRODUCING MECHANICAL POWER ; TESTING ; WEAPONS ; WIND MOTORS ; WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS</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=20191203&DB=EPODOC&CC=US&NR=10495693B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191203&DB=EPODOC&CC=US&NR=10495693B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>He, Lijun</creatorcontrib><creatorcontrib>Hao, Liwei</creatorcontrib><creatorcontrib>Unnikrishnan, Jayakrishnan</creatorcontrib><creatorcontrib>Matthews, Brett Alexander</creatorcontrib><title>Wind turbine fault detection using acoustic, vibration, and electrical signals</title><description>Systems and methods for detecting faults are provided. 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The fault condition can further be determined based at least in part on an analyzed electrical signal.</description><subject>BLASTING</subject><subject>HEATING</subject><subject>LIGHTING</subject><subject>MACHINES OR ENGINES FOR LIQUIDS</subject><subject>MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES</subject><subject>MEASURING</subject><subject>MEASURING ELECTRIC VARIABLES</subject><subject>MEASURING MAGNETIC VARIABLES</subject><subject>MECHANICAL ENGINEERING</subject><subject>OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR</subject><subject>PHYSICS</subject><subject>PRODUCING MECHANICAL POWER</subject><subject>TESTING</subject><subject>WEAPONS</subject><subject>WIND MOTORS</subject><subject>WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi7EKwjAQQLM4SPUfzr2CWhW6WhQnFxXHck2v5SBcSnLx-43gBzi94b03N7cXSw-aQsdCMGByCj0pWWUvkCLLCGh9isq2hDd3Ab-mBMwbudwFtugg8ijo4sLMhgxa_liY1eX8aK5rmnxLcUJLQto-79vNvj4c6-q0q_5pPikSNtw</recordid><startdate>20191203</startdate><enddate>20191203</enddate><creator>He, Lijun</creator><creator>Hao, Liwei</creator><creator>Unnikrishnan, Jayakrishnan</creator><creator>Matthews, Brett Alexander</creator><scope>EVB</scope></search><sort><creationdate>20191203</creationdate><title>Wind turbine fault detection using acoustic, vibration, and electrical signals</title><author>He, Lijun ; Hao, Liwei ; Unnikrishnan, Jayakrishnan ; Matthews, Brett Alexander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US10495693B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2019</creationdate><topic>BLASTING</topic><topic>HEATING</topic><topic>LIGHTING</topic><topic>MACHINES OR ENGINES FOR LIQUIDS</topic><topic>MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES</topic><topic>MEASURING</topic><topic>MEASURING ELECTRIC VARIABLES</topic><topic>MEASURING MAGNETIC VARIABLES</topic><topic>MECHANICAL ENGINEERING</topic><topic>OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR</topic><topic>PHYSICS</topic><topic>PRODUCING MECHANICAL POWER</topic><topic>TESTING</topic><topic>WEAPONS</topic><topic>WIND MOTORS</topic><topic>WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS</topic><toplevel>online_resources</toplevel><creatorcontrib>He, Lijun</creatorcontrib><creatorcontrib>Hao, Liwei</creatorcontrib><creatorcontrib>Unnikrishnan, Jayakrishnan</creatorcontrib><creatorcontrib>Matthews, Brett Alexander</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>He, Lijun</au><au>Hao, Liwei</au><au>Unnikrishnan, Jayakrishnan</au><au>Matthews, Brett Alexander</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Wind turbine fault detection using acoustic, vibration, and electrical signals</title><date>2019-12-03</date><risdate>2019</risdate><abstract>Systems and methods for detecting faults are provided. A method for determining a fault condition for a component of a drivetrain in a wind turbine can include receiving an acoustic signal from an acoustic signal measuring device. The method can further include receiving a vibration signal from a vibration signal measuring device. The method can further include analyzing the acoustic signal to determine an analyzed acoustic signal. The method can further include analyzing the vibration signal to determine an analyzed vibration signal. The method can further include determining a fault condition for the component based at least in part on the analyzed acoustic signal and analyzed vibration signal. The fault condition can further be determined based at least in part on an analyzed electrical signal.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | BLASTING HEATING LIGHTING MACHINES OR ENGINES FOR LIQUIDS MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES MEASURING MEASURING ELECTRIC VARIABLES MEASURING MAGNETIC VARIABLES MECHANICAL ENGINEERING OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR PHYSICS PRODUCING MECHANICAL POWER TESTING WEAPONS WIND MOTORS WIND, SPRING WEIGHT AND MISCELLANEOUS MOTORS |
| title | Wind turbine fault detection using acoustic, vibration, and electrical signals |
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