Failure mode and effects analysis is a widely applied risk assessment method in various engineering and management domains. However, the identification of failure modes is difficult and uncountable. Therefore, a function–motion–action (FMA) decomposition method is developed to identify failure modes from the perspective of motion and extraordinarily suitable for mechatronic products. In the typical risk assessment, the ranking orders of failure modes are determined by risk priority number (RPN), which has been criticized for several drawbacks and improved by some alternative RPNs, but some drawbacks still exist, such as duplicate values, narrow admissible value range, and missing failure modes’ and risk factors’ weights. This study formulates several alternative weighted RPNs to overcome the above drawbacks, and the final ranking orders of failure modes are garnered through the integrated RPN (IRPN). First, failure modes are identified via the proposed FMA decomposition method and evaluated with crisp values, whose weights are aggregated from the basic failure modes’ weights. Second, the weights of the basic failure modes, risk factors and different RPN methods are derived from analytic hierarchy process. Third, the conditional weights of risk factors are determined by incorporating risk factors’ weights and failure modes’ conditional weights deduced from Shannon entropy. Next, several alternative weighted RPNs and IRPN are formulated to rank failure modes’ risk levels. Finally, an illustrative example about computer numerical control machine center is presented to demonstrate the application and effectiveness of the proposed method.

中文翻译：

---

基于功能-运动-动作分解法和综合风险优先级数的机电产品失效模式及影响分析

失效模式和影响分析是各种工程和管理领域中广泛应用的风险评估方法。然而，故障模式的识别是困难和不可计数的。因此，开发了一种功能-运动-动作（FMA）分解方法，从运动的角度识别故障模式，非常适合机电产品。在典型的风险评估中，故障模式的排序顺序是由风险优先级数（RPN）决定的，它有几个缺点，并被一些替代RPNs改进，但仍然存在一些缺点，如重复值、允许值窄范围，以及缺失的故障模式和风险因素的权重。本研究制定了几种替代加权 RPN 来克服上述缺点，故障模式的最终排序顺序是通过集成 RPN (IRPN) 获得的。首先，故障模式是通过建议的 FMA 分解方法识别的，并使用清晰的值进行评估，其权重是从基本故障模式的权重中聚合而来的。其次，基本故障模式、风险因素和不同RPN方法的权重是从层次分析过程中推导出来的。第三，通过结合从香农熵推导出的风险因素权重和失效模式的条件权重来确定风险因素的条件权重。接下来，制定了几个替代的加权 RPN 和 IRPN 来对故障模式的风险级别进行排序。最后，给出了一个关于计算机数控机床中心的说明性例子，以证明所提出方法的应用和有效性。