relative failure frequency

简明释义

相对故障率

英英释义

例句

1.By comparing the relative failure frequency of different components, we can improve overall reliability.

通过比较不同组件的相对故障频率，我们可以提高整体可靠性。

2.To enhance product quality, we must reduce the relative failure frequency of our assembly line.

为了提高产品质量，我们必须降低装配线的相对故障频率。

3.Monitoring the relative failure frequency helps us detect patterns that could lead to significant downtime.

监测相对故障频率帮助我们发现可能导致显著停机的模式。

4.The relative failure frequency in this manufacturing process is higher than expected, indicating a need for adjustments.

该制造过程中的相对故障频率高于预期，表明需要进行调整。

5.The team analyzed the relative failure frequency of the new software to identify potential issues.

团队分析了新软件的相对故障频率以识别潜在问题。

作文

In today's fast-paced technological world, the concept of reliability is crucial, especially in industries that rely heavily on complex machinery and systems. One important metric used to assess the performance of these systems is known as relative failure frequency. This term refers to the frequency at which failures occur relative to the total operational time or the number of units produced. Understanding this metric can help organizations identify potential issues, improve maintenance schedules, and ultimately enhance overall system reliability.To illustrate the importance of relative failure frequency, consider a manufacturing plant that produces electronic devices. If the plant operates for 1,000 hours in a month and experiences five failures during that time, the relative failure frequency can be calculated by dividing the number of failures by the total operational hours, resulting in a frequency of 0.005 failures per hour. This information is invaluable for engineers and managers, as it provides a clear picture of how often problems are occurring in relation to the production capacity.Furthermore, analyzing the relative failure frequency over time can reveal trends that may not be immediately apparent. For instance, if the failure frequency increases significantly in a particular month, it may indicate that a specific component is wearing out faster than expected or that there is an underlying issue with the manufacturing process. By addressing these concerns proactively, companies can reduce downtime, lower repair costs, and improve product quality.In addition to its application in manufacturing, the concept of relative failure frequency is also relevant in software development. In this context, it can refer to the rate at which software bugs or system failures occur relative to the number of transactions processed or user sessions. For example, if a web application handles 10,000 user sessions in a day and encounters 20 failures, the relative failure frequency would be 0.002 failures per session. Monitoring this metric allows developers to understand the stability of their software and make informed decisions about updates and improvements.Moreover, the relative failure frequency can serve as a benchmark for comparing different systems or processes. By calculating and comparing the failure frequencies of various machines or software applications, organizations can identify which ones perform better and which may require further investigation or upgrades. This comparative analysis can lead to more efficient operations and better resource allocation.In conclusion, the concept of relative failure frequency is a vital tool for assessing the reliability and performance of both mechanical systems and software applications. By understanding and utilizing this metric, organizations can proactively address potential issues, optimize maintenance strategies, and enhance overall productivity. As industries continue to evolve and become more reliant on technology, the importance of monitoring relative failure frequency will only grow, making it an essential aspect of operational excellence and continuous improvement.

在当今快节奏的技术世界中，可靠性的概念至关重要，尤其是在依赖复杂机械和系统的行业中。一个用于评估这些系统性能的重要指标被称为相对故障频率。这个术语指的是故障发生的频率，相对于总的操作时间或生产的单位数量。理解这个指标可以帮助组织识别潜在问题，改善维护计划，并最终增强整体系统的可靠性。为了说明相对故障频率的重要性，考虑一个生产电子设备的制造厂。如果工厂在一个月内运行了1000小时，并且在此期间经历了五次故障，那么相对故障频率可以通过将故障次数除以总的操作小时数来计算，结果为每小时0.005次故障。这些信息对工程师和管理者来说是极其宝贵的，因为它提供了一个清晰的图景，显示了问题发生的频率与生产能力的关系。此外，分析相对故障频率随时间的变化可以揭示出一些可能并不立即显现的趋势。例如，如果某个月的故障频率显著增加，这可能表明某个特定组件的磨损速度超过预期，或者制造过程中存在潜在问题。通过主动解决这些问题，公司可以减少停机时间，降低维修成本，提高产品质量。除了在制造业中的应用，相对故障频率的概念在软件开发中也很相关。在这种情况下，它可以指软件错误或系统故障发生的速率，相对于处理的交易数量或用户会话。例如，如果一个网络应用程序在一天内处理了10,000个用户会话，并遇到了20次故障，那么相对故障频率将是每个会话0.002次故障。监测这一指标使开发人员能够了解软件的稳定性，并就更新和改进做出明智的决策。此外，相对故障频率还可以作为比较不同系统或过程的基准。通过计算和比较各种机器或软件应用程序的故障频率，组织可以识别哪些表现更好，哪些可能需要进一步调查或升级。这种比较分析可以导致更高效的运营和更好的资源分配。总之，相对故障频率的概念是评估机械系统和软件应用程序的可靠性和性能的重要工具。通过理解和利用这一指标，组织可以主动解决潜在问题，优化维护策略，并提高整体生产力。随着各行业不断发展并日益依赖技术，监测相对故障频率的重要性只会增加，使其成为运营卓越和持续改进的关键方面。