mean time between failure

简明释义

故障平均时间间隔

英英释义

例句

1.A higher mean time between failure indicates a more reliable system in our quality assurance reports.

在我们的质量保证报告中，更高的故障间隔时间表示系统更可靠。

2.The IT department monitors the mean time between failure of servers to ensure optimal performance.

IT部门监控服务器的故障间隔时间以确保最佳性能。

3.In our latest report, the mean time between failure for the software was significantly improved.

在我们最新的报告中，该软件的故障间隔时间显著改善。

4.To improve customer satisfaction, we aim to increase the mean time between failure of our products.

为了提高客户满意度，我们的目标是增加我们产品的故障间隔时间。

5.The engineering team calculated the mean time between failure to assess the reliability of the new machinery.

工程团队计算了故障间隔时间以评估新机器的可靠性。

作文

In the realm of engineering and reliability, the term mean time between failure is crucial for understanding the performance and durability of a system. This metric, often abbreviated as MTBF, refers to the average time elapsed between one failure of a system and the next. It serves as an essential indicator of a system's reliability and is widely used in various industries, including manufacturing, information technology, and aerospace.To grasp the significance of mean time between failure (MTBF), it's important to recognize how it impacts operational efficiency and cost-effectiveness. A higher MTBF indicates that a system can perform its intended functions for longer periods without experiencing failures. This is particularly beneficial in industries where downtime can lead to substantial financial losses or safety risks. For instance, in a manufacturing plant, if a machine has a high MTBF, it means that production can continue smoothly, thereby increasing overall productivity.On the other hand, a low MTBF suggests that a system is prone to frequent breakdowns, necessitating regular maintenance and repairs. This not only disrupts operations but also increases costs related to labor, parts, and potential loss of revenue due to halted production. Therefore, companies strive to improve their MTBF through better design, quality control, and maintenance practices.The calculation of mean time between failure is relatively straightforward. It is determined by dividing the total operational time of a system by the number of failures that occur during that time. For example, if a machine operates for 1,000 hours and experiences 5 failures, the MTBF would be calculated as follows: 1,000 hours divided by 5 failures equals 200 hours. This means that, on average, the machine can operate for 200 hours before encountering a failure.However, it is essential to note that MTBF should not be viewed in isolation. It is just one of several metrics that organizations use to assess reliability. Other factors, such as mean time to repair (MTTR) and availability, also play critical roles in understanding a system's overall performance. While MTBF focuses on the time between failures, MTTR measures the average time taken to repair a failed system and return it to operational status. Together, these metrics provide a comprehensive view of a system's reliability and maintenance needs.In conclusion, the concept of mean time between failure (MTBF) is vital for any organization that relies on machinery or technology. By understanding and optimizing MTBF, companies can enhance their operational efficiency, reduce costs, and ultimately improve their bottom line. As industries continue to evolve and technology advances, the importance of maintaining high MTBF values will only grow, making it a key focus for engineers and managers alike. Whether in manufacturing, IT, or any other field, MTBF remains a cornerstone of reliability engineering, guiding decisions that shape the future of systems and processes.

在工程和可靠性领域，术语平均故障间隔时间对于理解系统的性能和耐用性至关重要。这个指标通常缩写为MTBF，指的是系统发生一次故障与下次故障之间的平均时间。它作为系统可靠性的一个重要指标，被广泛应用于制造、信息技术和航空航天等各个行业。要理解平均故障间隔时间（MTBF）的重要性，必须认识到它如何影响操作效率和成本效益。较高的MTBF表明一个系统能够在不发生故障的情况下更长时间地执行其预定功能。这在停机时间可能导致重大财务损失或安全风险的行业中尤为有利。例如，在一家制造厂，如果一台机器的MTBF很高，这意味着生产可以顺利进行，从而提高整体生产力。另一方面，低MTBF则表明一个系统容易频繁出现故障，需要定期维护和修理。这不仅会干扰操作，还会增加与劳动力、零件相关的成本，以及由于生产中断而可能造成的收入损失。因此，公司努力通过更好的设计、质量控制和维护实践来提高他们的MTBF。平均故障间隔时间的计算相对简单。它是通过将系统的总运行时间除以在该时间内发生的故障数量来确定的。例如，如果一台机器运行了1000小时并经历了5次故障，则MTBF的计算如下：1000小时除以5次故障等于200小时。这意味着，平均而言，该机器可以在遇到故障之前运行200小时。然而，值得注意的是，MTBF不应孤立地看待。它只是组织用来评估可靠性的几个指标之一。其他因素，如平均修复时间（MTTR）和可用性，也在理解系统的整体性能中发挥着关键作用。虽然MTBF关注故障之间的时间，但MTTR测量的是修复故障系统并将其恢复到操作状态所需的平均时间。这些指标共同提供了对系统可靠性和维护需求的全面视角。总之，平均故障间隔时间（MTBF）的概念对于任何依赖机械或技术的组织都是至关重要的。通过理解和优化MTBF，公司可以提高操作效率，降低成本，并最终改善其底线。随着行业的不断发展和技术的进步，保持高MTBF值的重要性只会增加，使其成为工程师和管理者的关键关注点。无论是在制造业、信息技术还是其他任何领域，MTBF仍然是可靠性工程的基石，指导着塑造系统和流程未来的决策。