conditional failure rate

简明释义

条件故障率，条件失误率，条件损伤率

英英释义

例句

1.In our study, we observed that the conditional failure rate 条件失效率 increased significantly at higher temperatures.

在我们的研究中，我们观察到在更高温度下条件失效率显著增加。

2.The maintenance team monitored the conditional failure rate 条件失效率 to schedule timely interventions.

维护团队监控条件失效率以便及时安排干预。

3.The conditional failure rate 条件失效率 helps us understand how likely a system is to fail given certain conditions.

该条件失效率帮助我们了解在特定条件下系统失败的可能性。

4.To improve reliability, we need to analyze the conditional failure rate 条件失效率 during high-stress scenarios.

为了提高可靠性，我们需要分析高应力场景下的条件失效率。

5.The engineer calculated the conditional failure rate 条件失效率 of the new component under specific operating conditions.

工程师在特定操作条件下计算了新组件的条件失效率。

作文

In the realm of reliability engineering and risk assessment, understanding various metrics is crucial for effective decision-making. One such important metric is the conditional failure rate, which refers to the likelihood of a system or component failing given that it has already survived up to a certain point in time. This concept is particularly useful in fields such as manufacturing, aerospace, and software development, where assessing risks and mitigating failures can lead to significant improvements in performance and safety.The conditional failure rate can be mathematically expressed through survival functions and hazard rates. Essentially, it provides insights into how the probability of failure changes over time, especially after a system has already endured some operational period without failure. This aspect is vital for engineers and project managers who seek to optimize maintenance schedules and enhance the reliability of systems.For instance, consider an aircraft engine that has been operating flawlessly for a certain number of flight hours. The conditional failure rate allows engineers to assess the risk of failure for the next set of flight hours based on its past performance. If the engine has shown no signs of wear or distress, the conditional failure rate might be relatively low, suggesting that it is still in a reliable state. Conversely, if the engine has experienced several minor issues, the conditional failure rate could be higher, indicating a greater likelihood of future failures.Moreover, the conditional failure rate is not static; it can change based on various factors such as environmental conditions, usage patterns, and maintenance practices. For example, a machine that operates under harsh conditions may exhibit a higher conditional failure rate due to increased stress and wear compared to one used in a controlled environment. Therefore, understanding this metric helps organizations tailor their maintenance strategies to align with the specific conditions and operational profiles of their equipment.In software development, the conditional failure rate plays a significant role in the context of debugging and testing. When a software application has been running without crashing for a certain period, developers can analyze the conditional failure rate to identify potential vulnerabilities that may arise as the application scales or as new features are added. This proactive approach to risk management enables teams to address issues before they escalate into major problems, thereby enhancing the overall quality and reliability of the software.In conclusion, the conditional failure rate is a pivotal concept in understanding and managing the reliability of systems across various industries. By focusing on the probability of failure given prior survival, organizations can make informed decisions that improve safety, performance, and efficiency. As technology continues to evolve, the ability to accurately assess and respond to the conditional failure rate will remain a critical skill for engineers, managers, and developers alike. By incorporating this metric into their risk assessment frameworks, organizations can better navigate the complexities of modern engineering challenges and drive continuous improvement in their operations.

在可靠性工程和风险评估领域，理解各种指标对于有效的决策至关重要。其中一个重要的指标是条件失效率，它指的是在系统或组件在某个时间点已经存活的情况下，发生故障的可能性。这个概念在制造业、航空航天和软件开发等领域尤为有用，因为评估风险和减轻故障可以显著提高性能和安全性。条件失效率可以通过生存函数和风险率进行数学表达。基本上，它提供了关于故障概率如何随时间变化的洞察，特别是在系统已经经历了一段没有故障的运行期之后。这一方面对于寻求优化维护计划和增强系统可靠性的工程师和项目经理至关重要。例如，考虑一个已经无故障运行了一定飞行小时数的飞机发动机。条件失效率使工程师能够根据其过去的表现评估未来一段飞行小时数的故障风险。如果发动机没有显示出磨损或损伤的迹象，则条件失效率可能相对较低，表明它仍处于可靠状态。相反，如果发动机经历了几次小问题，条件失效率可能会更高，表明未来故障的可能性更大。此外，条件失效率并不是静态的；它可以根据环境条件、使用模式和维护实践等各种因素而变化。例如，在恶劣条件下运行的机器可能由于承受的压力和磨损而表现出更高的条件失效率，而与在受控环境中使用的机器相比。因此，理解这一指标有助于组织量身定制其维护策略，以与设备的特定条件和操作特征相一致。在软件开发中，条件失效率在调试和测试的背景下发挥着重要作用。当软件应用程序在某段时间内未崩溃时，开发人员可以分析条件失效率以识别可能随着应用程序扩展或添加新功能而出现的潜在漏洞。这种主动的风险管理方法使团队能够在问题升级为重大问题之前解决它们，从而提高软件的整体质量和可靠性。总之，条件失效率是理解和管理各行业系统可靠性的关键概念。通过关注在先前存活的情况下发生故障的概率，组织可以做出明智的决策，从而提高安全性、性能和效率。随着技术的不断发展，准确评估和应对条件失效率的能力将继续成为工程师、管理者和开发人员的重要技能。通过将这一指标纳入其风险评估框架，组织可以更好地应对现代工程挑战的复杂性，并推动其运营的持续改进。