Study On Detection System Of Suspension Gap Based On Fault Tree Analysis

With the rapid development of the auto industry, the automobile further improve performance, But what followed was the vehicle structure has become increasingly complicated. This requires us to vigorously develop the automobile industry, we also have to accelerate our vehicle inspection industry, so that we can use advanced detection equipment to the condition of vehicles to make rapid and accurate detection, This is to ensure that vehicles with good performance of the important means.At present, China's automobile test technology, despite the rapid growth But with the developed countries in the West, there are still some gaps, the main features : a single product; Intelligent low; Product reliability, and hence the development of China's intelligent detection equipment is an urgent task. The thesis of automotive suspension Gap Detection System for analysis and research, in order to check Vehicle Clearance necessity Vehicle eliminating the element of performance, then the suspension of the space vehicle detection system reliability will be more strict. And complex space vehicle suspension detection system, have problems factors are often very large, but these factors are intertwined and impact, which makes detection extremely difficult. The detection accuracy of detection with the technology and reliability are closely related. Therefore, it was right space vehicle suspension system reliability in increasingly high demand. Control and optimize the detection system reliability impact of a number of factors, improve system reliability is the core.Fault tree analysis is a fruit because of the analytical method It failure mode and effects analysis of the consequences foundation System fault of the reasons to adopt an overall local branches gradually refined by the method. Fault tree analysis by analyzing the weak links and completed the optimization of the system to achieve the right equipment failure prediction and Detection is a safety and reliability analysis techniques, system fault prediction, prevention, analyze and control the results are obvious. Based on several fault analysis fault detection method in the actual fault detection has a broad role, In particular, in recent years, as computer technology and the gradual maturing of the popular computer application, intuitive windows graphical interface makes the fault tree analysis has broader market space. Right on the fault tree analysis fault detection theory study also becoming more and more mature. Fault Analysis , failure mode, Importance analysis and other software reliability has begun to move out laboratory, and software from a single function to the network and expert systems, artificial intelligence direction. At present, fault tree analysis has been widely used in the domestic and international aerospace, aviation, nuclear energy, electronics, chemical industry, machinery industry, have broad prospects for development.Suspension of space detection system analysis and research, and fault diagnosis system from the application point of view. solve complex system failure of multiple faults, failures and malfunctions between the cross-ties. Based on the failure mode and the cause of the fault analysis, the corresponding fault tree, visual display of all system failures and the reasons for the failure mode. The system qualitative analysis to find out the top the causes of the incident portfolio that the incident leading to the top of all the fault model, which is calculated fault tree minimal cut sets, then quantitative analysis, through the measured data and multifaceted collection, drawn system failure probability and the probability important, for the final test the reliability of the system can provide the necessary basis. Good to show the reliability of the system can be.The paper concludes with a fault tree and diagnosis system knowledge base linked to the fault tree in the form of a comprehensive, System of knowledge representation systems, and fault tree by the automatic generation of the system for the cause of the malfunction, the failure mode, Diagnosis of the conclusions and realized the diagnosis of free access to knowledge, and knowledge to ensure the diagnosis of the completeness and consistency. Application of Artificial Intelligence diagnostic methods and object-oriented design methods, to conduct a man-machine interface. Set minimum cut through the fault tree to the diagnosis and knowledge base systems to link up the smallest cut concentrated in the most effective manner storage systems and the operation of state of knowledge, and to increase diagnosis of the fault tree description information, knowledge base to ensure the diagnosis of perfect knowledge, the multiple knowledge representation, The diagnosis system knowledge base of knowledge used in production rules and framework for combining the approach of knowledge, to maximize the knowledge and ability to express the failure rate. The ultimate system design, maintenance and management to provide a theoretical basis to identify the weak links for the maintenance and improvement of the specified direction.