Analysis And Research Of Load Change Characteristics Of Wire Rope Defects Detection Based On Acoustic Emission

As an important bearing and traction components, the rope is widely usedin various mechanical transmission devices, lifting and transport equipment, cranes,mine hoist, ship traction mechanism, freight passenger ropeway, cable-stayed bridge,elevator parts and aviation equipment traction. When the device is running, theequipment and personal safety is seriously threatened because of the rope fatigue,wear, corrosion caused by the rope breaks. Thus the study on the safety performanceof wire rope has a very important practical significance. Acoustic emissiontechnology is a dynamic real-time nondestructive testing technology and widelyapplied to the safety testing of wire rope. This paper attempts to study the acousticemission characteristics in the case of flaw changes on the wire rope in order to makeclear the correspondence between acoustic emission characteristics and defects bythe rope binding experiment.Firstly, the current research situation at home and abroad of wire rope acousticemission has been concluded, the feasibility of acoustic emission rope and problemshas been stated. The characteristic of acoustic emission of the rope in case of loadchange has been analyzed, and the correspondence relation has been studied. Theactual three-dimensional model has been established according to the parameters ofthe real rope by SolidWorks software, the stress, strain, displacement values wereobtained by the applied load (1kN-20kN), the relative value of the accumulatedenergy has been acquired with the fitting of the damage factor equation, and it is abasis of the discrimination of defect.Next, an effective defect detection wire experimental system has beenestablished with the laboratory experiments instrument Changchun Ke-xinWDW-100series tensile machine and acoustic emission testing equipment. Theexperimental platform was built to acquire the acoustic emission data on the changeof load to gets the response state acoustic emission. The measured load curves of thetests matched with the simulation results, the correspondences between theaccumulated energy and count with the load changes were obtained. mode decomposition method was applied in the processing of43sets ofexperimental data. The energy of intrinsic mode components by the empirical modedecomposition was calculated. The ratio of intrinsic mode components energy andtotal energy works as eigenvalues of the input of support vector machine which resultin the successful pattern recognition of acoustic emission signal. With the use ofcross-validation method, the accuracy rate of the training set was81.4815%and themode recognition accuracy was increased by6.25%. The results show that theempirical mode decomposition has a good effect to extract the eigenvalues ofacoustic emission signals and support vector machines method can better achieve theclassification of small sample size, the acoustic emission signals of the wire rope canbe accurately identified.