Ðв¨travelling wave
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Éñ¾ÍøÂçneural network
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Ñо¿·½Ïò research direction
¸±½ÌÊÚassociate professor
µçÁ¦ÏµÍ³the electrical power system
´óÈÝÁ¿·¢µç»ú×élarge capacity generating set
Êäµç¾àÀëelectricity transmission
³¬¸ßѹÊäµçÏßsupervltage transmission power line
ͶÔËcommissioning
Ðв¨±£»¤Traveling wave protection
×ÔÊÊÓ¦¿ØÖÆ·½·¨adaptive control process
¶¯×÷ËÙ¶Èspeed of action
Ðв¨ÐźÅtravelling wave signal
²âÁ¿ÐźÅmeasurement signal
ÔÝ̬·ÖÁ¿transient state component
·ÇÏßÐÔϵͳnonlinear system
¸ß¾«¶Èhigh accuracy
×Ôѧϰ¹¦ÄÜselflearning function
¿¹¸ÉÈÅÄÜÁ¦antijamming capability
×ÔÊÊӦϵͳadaptive system
Ðв¨¼ÌµçÆ÷travelling wave relay
ÊäµçÏß·¹ÊÕÏtransmission line malfunction
·ÂÕæsimulation
Ëã·¨algorithm
µçλelectric potential
¶Ì·¹ÊÕÏshort trouble
×Óϵͳsubsystem
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µçѹԴvoltage source
¹ÊÕϵãtrouble spot
µÈЧÓÚequivalent
ÔÝ̬Ðв¨transient state travelling wave
Æ«ÒÆÁ¿side-play mount
µçѹelectric voltage
¸½¼Óϵͳadd-ons system
²¨ÐÎwaveform
¹¤Æµpower frequency
Ñӳٱ任delayed transformation
ÑÓ³Ùʱ¼ädelay time
¼õ·¨ÔËËãsubtraction
Ïà¼õÔËËãadditive operation
ÇóºÍÆ÷summator
Ä£ºý¹æÔòfuzzy rule
²ÎÊýÖµparameter values
¿É¿¿¶¯×÷action message
µÈÖµ²¨×迹equivalent value wave impedance
¸½¼ÓÍøÂçadditional network
Ð޸ĵÄmodified
·´´«Ëã·¨backpropagation algorithm
Á¥Êôº¯Êýmembership function
Ä£ºý¹æÔòfuzzy rule
Ä£ºýÍÆÀífuzzy reasoning
Ñù±¾¼¯ºÏ sample set
¸ø¶¨µÄgiven
Ä£ºýÍÆÀí¾ØÕófuzzy reasoning matrix
²ÉÑùÖÜÆÚsampling period
Èý½ÇÐÎÁ¥Êô¶Èº¯ÊýTriangle-shape grade of membership function
¸ººÉ״̬load conditions
ÇøÄÚ¹ÊÕÏtroubles inside the sample space
Ãż÷Öµthreshold level
²ÉÑùƵÂÊsampling frequency
È«ÃæµØall sidedly
Ñù±¾¿Õ¼äsample space
Îó¶¯×÷malfunction
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·ÂÕæÊý¾Ýsimulation data
ÁéÃôÐÔsensitivity
С²¨±ä»»wavelet transformation
Éñ¾Ôªneuron
г²¨µçÁ÷harmonic current
µçÁ¦ÏµÍ³×Ô¶¯»¯power system automation
¼Ìµç±£»¤relaying protection
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