Reliability fuzzy allocation of rotating machinery considering failure correlation
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摘要:
针对部件失效独立假设导致旋转机械系统可靠性分配结果不佳的问题,提出一种基于失效相关性和模糊层次分析(FAHP)的可靠性分配策略。基于层次分析模型,根据初始评价对系统部件建立非模糊综合评价矩阵,以降低初始评价的主观性影响。引入载荷分散系数,设计了一种反映部件间失效相关性的失效相关因子,用于修正评价矩阵中复杂度、失效严重度和失效发生度这3类系数,并计算出各部件的可靠性分配权重。将可靠性分配权重输入Gumbel Copula函数以建立系统可靠度分配模型。以某型号液体火箭发动机涡轮泵为例,进行对比分析,结果表明:所提策略因考虑失效相关性而给出了更合理且成本更低的可靠性分配方案,其中失效危害度较高的涡轮和壳体被合理分配了较高的可靠度指标
0.99982 和0.99992 ,并且系统的无量纲成本为95.21305 ,远低于失效独立和失效负相关下的设计结果。-
关键词:
- 液体火箭发动机涡轮泵 /
- 可靠性分配 /
- 失效相关性 /
- 模糊层次分析(FAHP) /
- Copula函数
Abstract:In the reliability design process of rotating machinery, the assumption of failure independence between different components may lead to unsatisfactory results in reliability allocation. Therefore, a reliability allocation method based on failure correlation and fuzzy analytic hierarchy process (FAHP) was proposed. Based on the analytic hierarchy process model and initial evaluations, a non-fuzzy evaluation matrix was constructed for all system components, aiming to reduce the subjective influence from the initial evaluations. By introducing the load dispersion coefficient, a failure correlation factor reflecting the failure correlation between components was devised to adjust the coefficients of complexity, severity, and occurrence within the evaluation matrix, and the reliability weights of components were calculated. A reliability allocation model was constructed by inputting reliability weights into the Gumbel Copula function. Taking a liquid rocket engine turbopump as an example, a comparative analysis was conducted. Since taking into account failure correlation, the proposed method can provide a more reasonable and lower cost reliability allocation scheme, where the turbine and shell with higher failure hazard were reasonably allocated higher reliability indexes of
0.99982 and0.99992 , and the dimensionless cost of system was95.21305 , much lower than the results under the assumptions of failure independence and negative correlation. -
表 1 评价值与评价集
Table 1. Evaluation value and evaluation set
模糊评价值 因素重要性 复杂度 失效严重度 失效发生度 技术水平 工作环境 $ \tilde 1 $ 不重要 简单 不严重 不发生 不成熟 恶劣 $ \tilde 3 $ 一般重要 一般复杂 一般严重 会发生 一般成熟 较恶劣 $ \tilde 5 $ 较重要 较复杂 较严重 少发生 较成熟 一般 $ \tilde 7 $ 重要 复杂 严重 偶尔发生 成熟 良好 $ \tilde 9 $ 非常重要 非常复杂 非常严重 经常发生 非常成熟 优 $ \tilde 2 $、$ \tilde 4 $、$ \tilde 6 $、$ \tilde 8 $ 介于上述情况之间 表 2 分配因素模糊评价系数
Table 2. Fuzzy evaluation coefficient of allocation factors
部件 复杂度$ {K_i} $ 失效严重度$ {S_i} $ 失效发生度$ {O_i} $ 技术水平$ {M_i} $ 工作环境$ {E_i} $ 涡轮 $ \tilde 6 $ $ \tilde 9 $ $ \tilde 3 $ $ \tilde 9 $ $ \tilde 1 $ 转子 $ \tilde 7 $ $ \tilde 8 $ $ \tilde 7 $ $ \tilde 8 $ $ \tilde 4 $ 诱导轮 $ \tilde 4 $ $ \tilde 5 $ $ \tilde 3 $ $ \tilde 8 $ $ \tilde 4 $ 叶轮 $ \tilde 5 $ $ \tilde 5 $ $ \tilde 4 $ $ \tilde 8 $ $ \tilde 4 $ 轴承 $ \tilde 8 $ $ \tilde 9 $ $ \tilde 9 $ $ \tilde 8 $ $ \tilde 1 $ 阻尼器 $ \tilde 2 $ $ \tilde 4 $ $ \tilde 3 $ $ \tilde 3 $ $ \tilde 2 $ 动密封 $ \tilde 7 $ $ \tilde 8 $ $ \tilde 1 $ $ \tilde 5 $ $ \tilde 3 $ 壳体 $ \tilde 2 $ $ \tilde 7 $ $ \tilde 1 $ $ \tilde 9 $ $ \tilde 2 $ 表 3 分配因素综合评价值
Table 3. Comprehensive evaluation values of allocation factors
部件 复杂度$ K_i^* $ 失效严重度$ S_i^* $ 失效发生度$ O_i^* $ 失效相关因子$ {\varDelta _i} $ 改进代价$ G_i^* $ 失效危害度$ {C_i} $ 分配权重$ {\omega _i} $ 涡轮 6.1368 0.3125 3.0377 1.0126 0.1010 0.3338 0.0132 转子 7.6042 0.1404 7.2978 1.0425 0.2075 0.0730 0.0750 诱导轮 4.2428 0.0127 3.1276 1.0425 0.1032 0.0133 0.2295 叶轮 5.3541 0.0127 4.1702 1.0425 0.1293 0.0106 0.3627 轴承 8.2346 0.3125 9.1259 1.0139 0.2532 0.1331 0.0445 阻尼器 2.0724 0.0057 3.1538 1.0513 0.1039 0.0059 0.2510 动密封 7.6853 0.1404 1.0480 1.0480 0.0512 0.2957 0.0187 壳体 1.1423 0.0631 1.0230 1.0229 0.0506 0.1345 0.0054 表 4 可靠性分配结果
Table 4. Reliability allocation results
方法 参数 涡轮 转子 诱导轮 叶轮 轴承 阻尼器 动密封 壳体 系统整体 对比
方法1可靠度 0.99990 0.99949 0.99839 0.99749 0.99967 0.99821 0.99987 0.99996 0.99300 成本 33.17621 6.23572 1.74633 1 9.81982 1.53701 25.44284 83.44336 162.40129 对比
方法2可靠度 0.99589 0.99637 0.99986 0.99979 0.99615 0.99906 0.99642 0.99761 0.99300 成本 1 8.71942 2.16062 55.21422 15.31175 1.89620 37.91382 125.49702 247.71305 所提
方法可靠度 0.99982 0.99896 0.99681 0.99497 0.99938 0.99652 0.99974 0.99992 0.99300 成本 32.53041 1.22453 49.14462 1 1.11473 6.72557 1.25136 2.22183 95.21305 -
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