论文标题
比较智能电网电气分配系统的传统和模糊故障模式和效果分析
Comparision of Traditional and Fuzzy Failure Mode and Effects Analysis for Smart Grid Electrical Distribution Systems
论文作者
论文摘要
可靠性评估是一项必不可少的技术，用于识别，解释和降低智能网格等安全至关重要系统的潜在故障。故障模式和效果分析（FMEA）是有据可查的风险分析技术之一，用于研究故障模式对智能电网等安全关键系统的影响。在传统的FMEA失败模式中，根据称为风险优先级数字的数字评估来优先考虑。风险优先数（RPN）定义为三种风险因素的乘积，即严重程度，发生（O）和检测（d）。这些风险因素通常是通过广泛的团队努力和判断来实现的，这可能导致错误和不一致。为了解决传统FMEA的缺点，提出了一种基于模糊的FMEA方法来产生可靠的风险优先排名。在这项研究中，比较了智能电网电气分配系统的传统和模糊的FMEA风险优先排名，并根据分析提出建议。结果证明了所提出的模糊膜法的效率。
Reliability Assessment is an indispensable technology for identifying, interpreting, and lessening the potential failures in safety-critical systems like smart grids. Failure modes and effects analysis (FMEA) is one of the well documented techniques for risk analysis to study the impact of failure modes on safety critical systems like smart grid. In traditional FMEA failure modes are prioritized based on a numeric assessment known as risk priority number. Risk priority number (RPN) is defined as the product of three risk factors namely severity (S), occurrence (O), and detection (D). These risk factors are generally attained by extensive team efforts and judgments which can lead to errors and inconsistencies. To address the shortcomings of the traditional FMEA, a fuzzy-based FMEA approach is proposed to generate reliable risk priority rankings. In this study, traditional and fuzzy-based FMEA risk priority rankings for smart grid electrical distribution systems are compared and recommendations are made based on the analysis. Results prove the efficiency of the proposed fuzzy-FMEA method.
