Product reliability analysis method and device

Abstract

The invention discloses a product reliability analysis method and device. The method comprises the steps that failure and maintenance historical information of various types of parts of a plurality ofsamples of a to-be-analyzed product is acquired, the failures of the parts capable of being completely maintained are modeled into complete maintenance failure statistic models, and the failures of the parts capable of being subjected to minimum maintenance are modeled into minimum maintenance failure statistic models; the complete maintenance failure statistic models or the minimum maintenance failure statistic models, obtained through modeling, of the parts of various types are detected; the detected complete maintenance failure statistic models or the minimum maintenance failure statisticmodels of the parts of various types are used for Monte-Carlo simulation of the to-be-analyzed product; simulation data obtained through Monte-Carlo simulation is subjected to statistic analysis, andthe mean time between failures of the to-be-analyzed product and unconditional failure intensity of the to-be-analyzed product in each fixed time interval are calculated. By means of the method, the modeling difficulty during reliability analysis can be reduced.

Description

technical field [0001] The invention relates to the field of reliability analysis. More specifically, the present invention relates to a product reliability analysis method and device. Background technique [0002] All kinds of products need reliability analysis before they are used or sold. For example, as the core component of various CNC machine tools, the CNC system is the key to the realization of CNC machining, and its quality and reliability level directly affect the reliability level of CNC machine tools. With the rapid development of machine tool industry and numerical control technology, the reliability research of numerical control system is becoming more and more important. [0003] Reliability analysis and modeling is an important part of reliability research. Its main purpose is to evaluate various indicators of system or product reliability and provide guidance for realizing reliability design and reliability growth. For general repairable systems, the reli...

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Problems solved by technology

However, whether it is the scheduled reduction or reduction ratio in the failure rate reduction model, or the service age regression factor in the life reduction model, its value is generally set as a constant, ignoring the impact of specific maintenance methods and maintenance times on it, and The actual engineering situation does not match

Moreover, with the introduction of new parameters such as the service age regression factor, the estimation of the parameters of the above models becomes more and more difficult, and the traditional parameter estimation methods such as maximum likelihood estimation cannot be solved.

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