What is the definition of data reliability? Importance and significance of reliability analysis

Date：2022-04-27 14:05:26Views：2400

Data reliability was originally called data integrity in Chinese, but now it is called data reliability. Data integrity refers to the degree to which all data are complete, consistent and accurate in the life cycle of data. Ensuring data integrity means collecting, recording, reporting and preserving data and information in an accurate, true and completely representative manner. Data reliability has been the focus of global drug regulators in recent years. It is also the motivation and key content of CFDA's national clinical trial verification since July 2015.

From the perspective of engineering, reliability data analysis is compiled according to the process of data generation - Collection - preliminary sorting and analysis - unit reliability data analysis - system reliability data analysis. The reliability data analysis method is mainly classical statistical method, taking into account Bayesian method and some mature engineering experience methods. On the basis of expounding the basic concept, common parameters and distribution of reliability data analysis, this paper combs the procedures and methods of reliability data collection, fault criteria and statistical principles; The reliability data analysis method of unit product is systematically expounded through preliminary data sorting and analysis, distribution test and parameter estimation; Finally, the system reliability data analysis method is comprehensively described. In order to facilitate understanding and application, specific examples are given for each method; Each chapter is provided with a summary, which systematically combs and summarizes the advantages and disadvantages, scope of application and precautions of various methods, so as to provide guidance for engineers to reasonably select methods.

Reliability data analysis runs through the whole process of product development, test, production, use and maintenance. The purpose and task of reliability data analysis are also determined according to the requirements of reliability engineering activities carried out in the process of product development, test, production, use and maintenance. In the product development stage, reliability data analysis is used to evaluate the test results of various reliability tests to verify the effectiveness of the tests. In case of reliability growth test, the parameters shall be evaluated according to the test. By analyzing the fault causes of products, find out the weak links and put forward improvement measures, so as to gradually increase the reliability of products. At the end of the development stage and before entering production, the reliability level shall be evaluated according to the test results to provide management information for production decision-making. After being put into batch production, the reliability shall be evaluated according to the data of acceptance test to check whether the production process level can ensure the reliability required by the product. In the early stage of putting into use, special attention should be paid to the collection of on-site reliability data, timely analysis and evaluation, find out the early faults of products and their main causes, improve or strengthen quality management, and strengthen reliability screening, which can greatly reduce the early fault rate of products and improve the reliability of products. During use, the reliability of products shall be analyzed and evaluated regularly, and the products with low reliability shall be improved in time to meet the indicators required by the design.

Importance and significance of reliability analysis

With the in-depth development of reliability and maintainability, reliability data analysis has increasingly shown its important value and role. Reliability plays a prominent role in the quality of modern weapons and equipment.

Reliability can only be obtained through the reliability activities in the design and production process. It is the result of reliability design, reliability test and reliability management. Reliability data analysis provides the basis for reliability design and reliability test, and provides decision-making basis for reliability management. The task of reliability data analysis is to quantitatively evaluate product reliability. The information provided will be used as a reference for "preventing, discovering and correcting defects in reliability design, components, materials and processes", which is the focus of reliability engineering. Therefore, with the help of collecting the data of each stage of the product life cycle in a planned and purposeful way, through analysis, we can find the weak links of product reliability, analyze and improve the design, which can continuously improve and improve the quality and reliability level of products. Therefore, the collection and analysis of reliability data plays an important role in reliability engineering.

In the life cycle of products, the collection and analysis of reliability data are carried out with the reliability engineering activities in each stage. In the engineering development stage, it is necessary to collect and analyze the reliability data of similar products in order to predict the reliability of the design of new products. This prediction is conducive to the comparison and selection of schemes. The data generated from the reliability research and test in the design stage can be used to analyze the initial reliability, failure mode and reliability growth law of products, and provide a scientific basis for the effective improvement and finalization of products. In the production stage, in order to control the quality of products, sampling inspection must be carried out regularly to determine whether the products are qualified or not, so as to guide production and ensure quality. As the number of products and tests in the production stage increases greatly, the analysis and evaluation of reliability data at this time reflect the design and manufacturing level of products; The reliability data collected and analyzed in the use stage is the most authoritative for the evaluation of product design and manufacturing, because it reflects the most real use and environmental conditions, and there are a large number of products involved in the evaluation. The evaluation results reflect the reliability level when the product tends to mature or reaches the mature stage, which is the final test of the reliability of the product, It is also a reference for the development of the original design and reliability of the latest products in the future. Therefore, reliability data analysis is a basic work in various activities of reliability engineering and always plays an important role.

I believe that by reading the above content, we have a deeper understanding of reliability data analysis. Shenzhen Chuangxin Online Testing Technology Co., Ltd. is a well-known professional testing organization for electronic components in China. It has three standardized laboratories with an area of more than 1000 square meters. The scope of testing services covers: testing and verification of electronic components, identification of IC authenticity, product design, material selection, failure analysis, function testing, factory incoming material inspection, X-ray testing of components, tape braiding and other testing items.