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Qualification Test for the Reliability of Diver Gas Recovery System
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作者 Mao, FG Lu, SC Luo, RR 《China Ocean Engineering》 SCIE EI 1997年第3期357-361,共5页
A qualification test for the reliability of a newly-developed Diver Gas Recovery System (DGRS) was carried out in the Naval Medical Research Institute of the People's Liberation Army, China from March 29 to April ... A qualification test for the reliability of a newly-developed Diver Gas Recovery System (DGRS) was carried out in the Naval Medical Research Institute of the People's Liberation Army, China from March 29 to April 2, 1995. A sequential test plan of high discrimination ratio for the mean time between failures (MTBF) was adopted. The test procedures simulated those of a 300 msw dive. A hyperbaric breathing machine was used for the simulation of diver's respiratory functions. Parameters, such as diving depth, respiratory minute volume (RMV), CO2 production, gas flow rate, partial pressure of carbon dioxide, and ambient temperature and himidity were all displayed and recorded with a microcomputer system. The results indicated that no failure occurred during the 91.5 h operation. According to the acceptance and rejection criteria specified in the statistical test plan, a no-failure score in the 88 h operation is acceptable. Therefore, the DGRS has been demonstrated to meet the requirements of MTBF specified in the contract. 展开更多
关键词 diver gas recovery system RELIABILITY qualification test
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Efficient Method for Accelerated Reliability Qualification Testing
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作者 任志乾 于宗乐 +1 位作者 陶俊勇 林武强 《Journal of Donghua University(English Edition)》 EI CAS 2014年第6期882-885,共4页
Based on the theoretical inference and experiment verification,a method was proposed to carry out the accelerated reliability qualification testing. First,theoretical inference was used to get the acceleration coeffic... Based on the theoretical inference and experiment verification,a method was proposed to carry out the accelerated reliability qualification testing. First,theoretical inference was used to get the acceleration coefficients of super Gauss vibration stress and temperature stress. Then, by applying these coefficients, an accelerated reliability qualification testing curve was obtained from the standard tests. Finally,the actual experiment on a digital marine control device was carried out under the proposed testing method.The experiment result shows that the proposed method can reduce the total experiment time and improve the efficiency of the reliability qualification test. 展开更多
关键词 super G auss vibration stress cumulative fatigue damage acceleration testing reliability qualification testing
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BAYESIAN DEMONSTRATION TEST METHOD WITH MIXED BETA DISTRIBUTION 被引量:5
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作者 MING Zhimao TAO Junyong +1 位作者 CHEN Xun ZHANG Yun'an 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2008年第3期116-119,共4页
A complex mechatronics system Bayesian plan of demonstration test is studied based on the mixed beta distribution. During product design and improvement various information is appropriately considered by introducing i... A complex mechatronics system Bayesian plan of demonstration test is studied based on the mixed beta distribution. During product design and improvement various information is appropriately considered by introducing inheritance factor, moreover, the inheritance factor is thought as a random variable, and the Bayesian decision of the qualification test plan is obtained, and the correctness of a Bayesian model presented is verified. The results show that the quantity of the test is too conservative according to classical methods under small binomial samples. Although traditional Bayesian analysis can consider test information of related or similar products, it ignores differences between such products. The method has solved the above problem, furthermore, considering the requirement in many practical projects, the differences among this method, the classical method and Bayesian with beta distribution are compared according to the plan of reliability acceptance test. 展开更多
关键词 Reliability qualification test Inheritance factor Bayesian analysis Binomial distribution Maximum posterior risk
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