Reliability Data Management And Analysis System Software Development

In recently years, as the development of the product performance, some machinery enterprises realize the important of reliability, and enlarge the rearch of realibility. Failure datas of the Machinery products is the basics of the realibility rearch. At present, the main sources of data is base on reliability test. Because of the huge datas and it is complex management, it’s important to develop the module of data management. Using the technology of database to realize the management of the realibility datas.Author focused on processing methods of the censored datas, including the data preprocessing, the tests of goodness fit, the parameter estimation of distribution type, the calculation of reliability characteristic quantity, the anlysis of FMEA. On this basis, we based on C/S architecture, complemented by B/S architecture, using the VB.NET as the programing language, the SQL Server2000as the background datas to develop the work of the data development. At the same time, using the the basic principle and method to realize the expansion of the original datas, using Simulation datas to determain the type of failure distribution, and precision in calculation was improved. The computing and simulation program is developed by MATLAB software. And we use the technology of dynamic link library and ActiveX automation to achieve VB.NET call to MATLAB, to finish the work of processing and analysis of the datas and the curve drawing. Besides, considering the problems of money and time in the reliability test, using the method of grey prediction to predict the life based on a few datas. By the analysis and calculation, grey prediction is used to mechanical product reliability test was proved to be feasible, by this way, reducing the time and the money. Based on the above principles and methods, we develop a set of reliability data processing and analysis software, and complete the data management and analysis.Last, this passage based on the datas of6004bearing reliability test of a bearing factory. And, verifying the reliability datas management and analysis system.