000 024240000a22003250004500
003 EG-GICUC
005 20250223031910.0
008 060917s2006 ua a f m 000 0 eng d
040 _aEG-GICUC
_beng
_cEG-GICUC
041 0 _aEng
049 _aDeposite
097 _aPh.D
099 _aCai01.13.01.Ph.D.2006.Mo.F.
100 0 _aMohamed Sayed Ahmed
245 1 0 _aFault diagnosis for hydrualic system using neural network /
_cMohamed Sayed Ahmed Ibrahim ; Suppervised Ayman Hamdy Kassem , Mohamed Saeed Bayoumy
260 _aCairo :
_bMohamed Sayed Ahmed Ibraheem ,
_c2006
300 _a176P :
_bill ;
_c30cm
502 _aThesis (PH.D.) - Cairo University - Faculty Of Engineering - Department Of Aerospace Engineering
520 _aThis research presents seventeen neural network approaches for faults diagnosis of hydraulic control systemsThree approaches for each of double acting hydraulic cylinder in position control system , hydraulic variable displacement swash plate axial piston pump drives a certain load , hydraulic motor in a closed loop position control system , relief valve in hydraulic circuit , and flow control valve in hydraulic circuit , and then two approaches for a complete hydraulic circuitThe double acting hydraulic cylinder operates in a closed loop position control system , the cylinder is controlled by electrically operated servo valve and moves a 50 - kg trolley mounted massThe trolley position is measured with a displacement transducer and this signal is used to close the position control loopRandom step input signals with small amplitudes are used to the demand transducerThe control system governing equations are deduced and solved numerically to determine the system dynamic behavior according to the demand random signalsThe attained behavior used as basis to diagnose faults for three main parameters , which are the system supply pressure , the internal leakage and the coefficient of friction of the hydraulic cylinderThe neural network is developed to diagnose single fault and two faults occurring simultaneously
530 _aIssued also as CD
653 4 _aFault diagnosis
653 4 _aHydraulic
653 4 _aNeural network
700 0 _aAyman Hamdy Kassem ,
_eSupervisor
700 0 _aMohamed Sayed Bayoumi ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aAmira
_eCataloger
905 _aEsam
_eRevisor
942 _2ddc
_cTH
999 _c64443
_d64443