Research On Simulation-driven Generative Adversarial Networks And Mechanical Transmission System Fault Diagnosis

The mechanical transmission system is widely used in the pillar industry of the national economy,such as petrochemical,energy,metallurgical,transportation industries,and etc..It is essential using condition monitoring and fault diagnosis to guarantee the reliability and security of mechanical systems.Artificial intelligence(AI)model as an effective method has utilized to detect mechanical transmission system faults.However,it is difficult to carry out engineering application due to the insufficient fault samples.Therefore,it is of great significance to obtain complete fault samples,and further improve the classification accuray of AI models.Focused on bearings,gears and rotor-bearing systems of mechanical transmission system fault diagnosis,this paper carries out research in fault diagnosis methods based on simulation data driven generative adversarial networks(GANs).Focus on the problem of collecting complete fault samples hardly in real engineering applications,a novel fault detection framework system of finite element method(FEM)simulation-based GANs is proposed to detect faults.Firstly,a series of simulated fault samples obtained by finite element method simulation are used to make up the missing fault samples.Then,using GANs with the ability of ‘infinite generation',the measurement and simulation fault samples are processed separately to generate a large number of complete fault samples.Finally,AI diagnosis models such as support vector machine,decision tree,extreme learning machine,convolutional neural network,stack auto-encoder,ect..are used to carry out researchon multiple fault classifications for bearings,gears,rotor-bearings of mechanical transmission system.The simulation,experimental and comparation results show that the fault detection framework system of simulation-driven GANs and mechanical transmission system has high fault classification accuracy in the fault detection for bearing,gear and rotor-bearing system of mechanical transmission system.The fault detection framework system has built a key bridge for AI model and fault detection of mechanical transmission systems.