mean time-to-first-failure

简明释义

首次故障时平均时间

英英释义

例句

1.To minimize downtime, we need to focus on improving the mean time-to-first-failure 首次故障平均时间 in our systems.

为了最小化停机时间，我们需要专注于改善系统中的首次故障平均时间 mean time-to-first-failure。

2.The engineering team analyzed the mean time-to-first-failure 首次故障平均时间 to improve product reliability.

工程团队分析了首次故障平均时间 mean time-to-first-failure以提高产品的可靠性。

3.By reducing the mean time-to-first-failure 首次故障平均时间, we can enhance customer satisfaction significantly.

通过减少首次故障平均时间 mean time-to-first-failure，我们可以显著提高客户满意度。

4.The mean time-to-first-failure 首次故障平均时间 metric is crucial for assessing the quality of our software.

首次故障平均时间 mean time-to-first-failure指标对于评估我们软件的质量至关重要。

5.The maintenance team reported a decrease in the mean time-to-first-failure 首次故障平均时间 after implementing preventive measures.

维护团队报告称，在实施预防措施后，首次故障平均时间 mean time-to-first-failure有所减少。

作文

In the realm of engineering and reliability analysis, one of the most critical metrics used to assess the performance and durability of systems is the mean time-to-first-failure. This term refers to the average time that elapses before a system or component experiences its first failure. Understanding the mean time-to-first-failure is essential for engineers and managers alike, as it provides valuable insights into the reliability of products and helps in planning maintenance schedules effectively.To elaborate further, the mean time-to-first-failure is not merely a number; it encapsulates the overall quality and robustness of a system. For instance, in industries such as aerospace, automotive, and manufacturing, a high mean time-to-first-failure indicates that a product is likely to function well over an extended period before any issues arise. This reliability is crucial, especially when safety is at stake. Engineers often strive to design systems that maximize this metric, thereby minimizing the risk of catastrophic failures that could lead to severe consequences.Moreover, the calculation of the mean time-to-first-failure can vary depending on the context. For example, in a manufacturing environment, it may be determined by analyzing historical data on machine performance. By tracking when failures occur and under what conditions, analysts can compute the average time until the first failure happens. This information can then be utilized to improve processes, enhance training for operators, and implement better maintenance practices.In addition to its practical applications, the mean time-to-first-failure also plays a significant role in the development of new technologies. For instance, during the testing phase of product development, engineers will often monitor the mean time-to-first-failure to identify potential weaknesses in their designs. If a prototype exhibits a low mean time-to-first-failure, it may prompt further investigation and redesign to address the underlying issues before the product is released to the market.Furthermore, the mean time-to-first-failure serves as a benchmark for comparing different systems or components. For instance, when selecting suppliers or vendors, companies often evaluate the mean time-to-first-failure of competing products. This comparison helps organizations make informed decisions based on reliability, ultimately leading to improved customer satisfaction and reduced costs associated with repairs and downtime.In conclusion, the mean time-to-first-failure is a vital metric that reflects the reliability and durability of systems and components. Its implications extend beyond mere statistics; it influences design choices, maintenance strategies, and supplier evaluations. As industries continue to evolve and technology advances, understanding and optimizing the mean time-to-first-failure will remain a fundamental aspect of engineering and reliability management. By prioritizing this metric, organizations can ensure that they deliver safe, reliable, and efficient products to their customers, thereby enhancing their reputation and success in the market.

在工程和可靠性分析领域，用于评估系统性能和耐用性的最关键指标之一是首次故障平均时间。这个术语指的是在系统或组件经历首次故障之前所经过的平均时间。理解首次故障平均时间对于工程师和管理者来说至关重要，因为它提供了对产品可靠性的宝贵见解，并有助于有效地规划维护时间表。进一步阐述，首次故障平均时间不仅仅是一个数字；它概括了系统的整体质量和稳健性。例如，在航空航天、汽车和制造等行业，高首次故障平均时间表明产品在出现任何问题之前可能会良好运行较长时间。这种可靠性至关重要，尤其是在安全受到威胁时。工程师们通常努力设计能够最大化这一指标的系统，从而最小化可能导致严重后果的灾难性故障的风险。此外，首次故障平均时间的计算可能因上下文而异。例如，在制造环境中，它可能通过分析机器性能的历史数据来确定。通过跟踪故障发生的时间和条件，分析师可以计算出首次故障发生的平均时间。然后，这些信息可用于改进流程、增强操作员培训和实施更好的维护实践。除了其实际应用外，首次故障平均时间在新技术开发中也发挥着重要作用。例如，在产品开发的测试阶段，工程师通常会监测首次故障平均时间以识别设计中的潜在弱点。如果原型的首次故障平均时间较低，可能会促使进一步调查和重新设计，以解决发布市场前的潜在问题。此外，首次故障平均时间作为比较不同系统或组件的基准。例如，在选择供应商或卖方时，公司经常评估竞争产品的首次故障平均时间。这种比较帮助组织根据可靠性做出明智的决策，最终提高客户满意度并减少与维修和停机相关的成本。总之，首次故障平均时间是反映系统和组件可靠性和耐用性的关键指标。其影响超越了单纯的统计数据；它影响设计选择、维护策略和供应商评估。随着行业的不断发展和技术的进步，理解和优化首次故障平均时间将始终是工程和可靠性管理的基本方面。通过优先考虑这一指标，组织可以确保向客户提供安全、可靠和高效的产品，从而提升其声誉和市场成功。