The Reliability Analysis And Fault Diagnosis Of Outrigger Hydraulic System For Truck Crane

With the continuous development of science and technology, modern industry and the requirement for the reliability of dependence is more obvious. The hydraulic system control and power transmission in various industrial activities already occupies an important position, it is widely used in various fields of national economy. At the same time we become the focus of concern in the reliability of hydraulic system, fault diagnosis of hydraulic equipment has become another focus of our concern. The rapid development of manufacturing industry, transportation industry, logistics industry in China is also more alive. As an important part of hoisting and conveying machinery, reliability and safety of automobile crane is particularly important. As an important part of automobile crane, reliability of the hydraulic system and determines whether or not the automobile crane can work normally, stable operation.The truck crane hydraulic system as the research object. Analysis the working principle, set up the fault tree for the four kinds of typical fault, on the basis of using fault tree analysis method, Bayesian network and fuzzy set theory, using the fuzzy number and conditional probability table description of the systems and components of the uncertainty of the quantitative relationship, make full use of the fuzzy information of the system and uncertain information, reliability analysis is carried out.On the other hand, because of the powerful Bayesian network reasoning ability. The author will also use it in the fault diagnosis of hydraulic system, respectively from the fault has occurred "and" failure did not happen "two aspects of the study, through the parameters of the Bayesian network learning was proposed based on the reliability analysis and fault diagnosis method based on fault symptom, the system fault diagnosis.