Studies Based On Dynamical Features Of The Fault Diagnosis Of Slideway Wearing Of Reciprocating Machineries

Reciprocating machineries are widely used in various industrial fields,and nowadays the research on its fault diagnosis is one of the most popular research points both at home and abroad.It is very difficult to carry out fault diagnosis on them because of their complicated structures and various excitation sources,which causes a rather low level of the overall research.But the skills of status monitoring and fault diagnosis of reciprocating machineries are far less widely used than those of rotating machineries, which is extremely inconsistent with the present status of its application in the production.So it is necessary to do further studies on the skills of the fault diagnosis of reciprocating machineries.The diaphragm pump is one of the most important machinery equipments in the field of industrial production,which is also important dynamic equipment in the fields of Metallurgical and chemical industry and so on.Its working principle is to use the diaphragm to separate materials from the medium,then to cause changes in volume through deformation of diaphragm caused by the piston's reciprocating motion back and forth in the piston cylinder,from which the changes of pressure inside the diaphragm room happens,finally realizing the functions of absorbing and giving out materials.But due to its complicated structure and the many parts in the equipment,the pump cannot work steadily enough.So once there is an accident,it will probably cause huge economic loss and even casualties of people.In this paper,the collision - separation of two-state model of contact force is used to set up a dynamic model slide reciprocating wear machine,and to research the slider's dynamic responses under different parameters,using Runge-Kutta method in Matlab to make numerical solution of kinetic equation of diaphragm wearing and tearing on the slide.The software on dynamics called ADAMS is also used to set up a slider-crank mechanism model under ideal states,to analyze the movement characteristics of it,and to compare its movement characteristics with that of it when it is worn and torn.Basing on the above,for the reciprocating machinery fault diagnosis problems that exist it combine the nonlinear dynamics and the characteristics of chaos theory, applying to the Poincare sections,fractal and fractal dimension theory to research the ways to the fault diagnosis of reciprocating machineries.Take the diaphragm pump for an example,by analyzing the wearing and tearing on the three different simulation signals,to make their Poincare image maps,improving that when it is worn or torn its movement is chaos movement.The complexity of nonlinear dynamic system,to some extent,can be described by non-integer dimensions,and fractal dimension depicts the characteristics of the attractors that characterize the movement of the system.The correlation dimension reflects the most sensitively to the non-uniformity of the attractors of the system,so it can well reflect the dynamic structures of the chaotic attractors.This paper uses the GP algorithm to calculate the correlation dimension as the features of the fault diagnosis of reciprocating machinery and equipment,to carry out pattern recognition and fault diagnosis.According to the results of the calculating, correlation dimension differs from different failure,so we can determine different failure under different states,which proves this method has good effects.