The Calculation Of MTBF And Failure Analysis Of Packaging Machinery

Packaging machinery plays an important role in the development of packaging Industry. The production efficiency, automation and reliability of packaging machinery determine the rate and quality of packaging. With the rapid development of packaging Industry, packaging machinery has become one of the top ten Industries of machinery. However, according to the related investigation, there is a gap between packaging machinery in China and those of developed countries, in aspects of quality, reliability, precision and so on.Evaluating the reliability of packaging machinery and analyzing failure data can help improve quality of products and strengthen the competition of enterprises in market. Due to the deficiency of reliability research on packaging machinery, this paper utilizes basal theory of reliability engineering and method of statistic, and uses studying method of other field for reference. Methods of calculating mean time between failures(MTBF), a critical index of reliability, and ways of analyzing failures are discussed in detail. The best calculating flow is established and the basal theory on reliability analyzing for packaging machinery is built in this paper.This paper takes the reliability analysis of 6RS Roto-Packer with electronic balance produced by Wuxi Haver Cement Machinery Company as an example to illustrate the method. To acquire accurate meantime between failures, the distribution function should be fitted, then the grey associative analysis is used to get the best distribution model, from which precise MTBF can be obtained by calculating the expectation. To provide effective methods of improving reliability of packaging machinery, Failure Mode and Effects Analysis is applied combined with Fault Tree Analysis to analyze failure data of the product.In the meantime, to make the statistic and analysis of packaging machinery more convenient, the reliability information managing system is developed, taking the Visual Basic6.0 as a platform and using the Access database. This system has three major functions. The first part is reliability information management, including input and amending and inquiry of failure data and so on. The second part is to calculating the main reliability indexes, including fitting the distribution function, assumption test, choosing the best model, point and interval estimation of MTBF and so on. The last part is to analyze failures of products through counting failure modes and failure reasons of the product and its subsystems. This system provides enterprises effective basis for the standardization of reliability management and helps improve the product.