Research On The Fault Diagnosis System For The Integrated Transmission Device Of One Type Tracked Fighting Vehicle

The integrated transmission device is common in vehicles,especially in tracked armored vehicles.It is installed in the power cabin of tracked armored vehicles.The straight driving,steering driving,braking and compressor driving of vehicles are inseparable from the integrated transmission device.The mission reliability level of tracked armored vehicle is closely related to the health of the integrated transmission device,and its performance will directly affect the normal driving of the vehicle[1].The practice shows that the failure of the vehicle’s integrated transmission device has a great threat to the normal running of tracked vehicles,which is very prone to accidents and has a great impact,thus greatly reducing the work efficiency,more likely to affect the war situation,and even affect the outcome of the war.Therefore,it is necessary to study the fault diagnosis of integrated transmission.At present,the detection of integrated transmission device is to identify the system fault by analyzing and processing the data detected by the detection instrument,but this detection method has many shortcomings,such as it can not directly determine the cause of the fault according to the characteristics of the fault,The processing flow is cumbersome because of massive data,and so on.In order to solve the above problems,this paper aims at designing a brand new fault diagnosis program and displaying on software according to the characteristics of integrated transmission device.The specific research contents are as follows.Firstly,the integrated transmission of a certain type of tracked infantry vehicle is studied.The malfunction mode and malfunction characteristics of the integrated gearing are analyzed in the light of its composition structure and working principium,at the same time,a fault diagnosis method to improve PSO Optimization of HMM is proposed.Moreover,it’s really comprehensively to introduce the basic principles of BPNN,PSO and HMM algorithm respectively.However,many examples show that HMM algorithm has some problems: the application of HMM is reflected on the basis of a variety of training.Baum-Welch,whose disadvantage is highly dependent on the selection of initial value,is the steepest gradient descent local optimization algorithm,thus it is extraordinary uncomplicated to sink into local optimal result.Therefore,the fault diagnosis is proposed to improve PSO optimizing HMM,which solves the issue of low-accuracy algorithm and slow convergence effectively.Thirdly,a state evaluation model is established based on BPNN.Constructing improving PSO optimizing HMM algorithm if the final evaluation result is malfunction.Based on the simulation sample data of integrated transmission device,the fault diagnosis function of PSO optimization HMM can be verified and improved using SQL Server 2008 and visual studio 2013 to design the final function module.The specific fault parts can be displayed directly on the interface and maintenance suggestions can be given.Finally,through the comparative analysis of HMM algorithm and improved particle swarm optimization HMM algorithm,because the improved particle swarm optimization algorithm introduces extreme disturbance and adaptive inertia weight,it plays an important role in the function optimization and computational efficiency of the algorithm.Compared with HMM algorithm,its fault diagnosis accuracy and efficiency are better.