mean time between failures

简明释义

平均故障间隔时间

英英释义

例句

1.The maintenance department aims to increase the mean time between failures 故障平均间隔时间 by implementing a new preventive maintenance schedule.

维护部门旨在通过实施新的预防性维护计划来增加故障平均间隔时间 mean time between failures。

2.Our analysis showed that the mean time between failures 故障平均间隔时间 has decreased due to increased workload on the machines.

我们的分析显示，由于机器工作负荷增加，故障平均间隔时间 mean time between failures已经减少。

3.The engineering team reported that the mean time between failures 故障平均间隔时间 for the new software system is significantly higher than the previous version.

工程团队报告称，新软件系统的故障平均间隔时间 mean time between failures明显高于以前的版本。

4.To improve reliability, we need to calculate the mean time between failures 故障平均间隔时间 of our current hardware.

为了提高可靠性，我们需要计算当前硬件的故障平均间隔时间 mean time between failures。

5.The IT department is focused on improving the mean time between failures 故障平均间隔时间 for network services to enhance user experience.

IT部门专注于改善网络服务的故障平均间隔时间 mean time between failures以提升用户体验。

作文

In the world of engineering and reliability, the term mean time between failures (MTBF) plays a crucial role in understanding the performance and longevity of systems. MTBF is a measure used to predict the average time between inherent failures of a system during operation. It is a key indicator for manufacturers and engineers as it helps them assess the reliability of their products. The higher the MTBF, the more reliable the system is considered to be. This metric is particularly important in industries such as aerospace, telecommunications, and manufacturing, where system failures can lead to significant financial losses and safety risks.To grasp the concept of mean time between failures, it is essential to understand how it is calculated. MTBF is typically calculated by dividing the total operational time by the number of failures that occur within that time frame. For instance, if a machine operates for 1,000 hours and experiences two failures, the MTBF would be 500 hours. This means that, on average, the machine can be expected to operate for 500 hours before encountering a failure. By using MTBF, engineers can identify potential issues and improve the design and maintenance schedules of their equipment, ultimately leading to enhanced reliability.The importance of mean time between failures extends beyond merely measuring reliability. It also serves as a critical tool for decision-making in maintenance strategies. There are generally two approaches to maintenance: preventive and corrective. Preventive maintenance involves regularly scheduled inspections and repairs to prevent failures from occurring, while corrective maintenance occurs after a failure has been identified. By analyzing MTBF data, organizations can optimize their maintenance strategies to reduce downtime and repair costs. For example, if a particular piece of equipment has a low MTBF, it may be prudent to implement more frequent inspections and maintenance to mitigate the risk of unexpected failures.Moreover, MTBF can influence customer satisfaction and brand reputation. In today's competitive market, customers expect reliable products that perform consistently over time. A product with a high mean time between failures is likely to attract more customers, as it signifies quality and dependability. Conversely, products that frequently fail can lead to negative reviews and loss of trust among consumers. Therefore, companies must focus on improving MTBF not only to enhance their product offerings but also to maintain a positive relationship with their customers.In conclusion, the concept of mean time between failures is vital for understanding system reliability and performance. It provides valuable insights into the operational lifespan of equipment and informs maintenance strategies that can minimize downtime and costs. As industries continue to evolve and technologies advance, the importance of MTBF will only grow, making it an essential metric for engineers and manufacturers alike. By prioritizing MTBF in their operations, organizations can ensure they deliver reliable products that meet customer expectations and stand the test of time.

在工程和可靠性领域，术语平均故障间隔时间（MTBF）在理解系统的性能和耐用性方面发挥着至关重要的作用。MTBF是用来预测系统在运行过程中固有故障之间的平均时间的度量。这是制造商和工程师评估产品可靠性的关键指标。MTBF越高，系统被认为越可靠。这个指标在航空航天、电信和制造等行业尤为重要，因为系统故障可能导致重大财务损失和安全风险。要理解平均故障间隔时间的概念，必须了解它是如何计算的。MTBF通常通过将总运行时间除以在该时间范围内发生的故障数量来计算。例如，如果一台机器运行了1000小时并经历了两次故障，则MTBF为500小时。这意味着，该机器在遇到故障之前，平均可以期望运行500小时。通过使用MTBF，工程师可以识别潜在问题并改善设备的设计和维护计划，从而最终提高可靠性。平均故障间隔时间的重要性不仅仅在于测量可靠性。它还是维护策略决策的重要工具。维护通常有两种方法：预防性维护和纠正性维护。预防性维护涉及定期检查和维修，以防止故障的发生，而纠正性维护则是在识别出故障后进行的。通过分析MTBF数据，组织可以优化其维护策略，以减少停机时间和维修成本。例如，如果某个设备的MTBF较低，可能需要实施更频繁的检查和维护，以降低意外故障的风险。此外，MTBF还可以影响客户满意度和品牌声誉。在当今竞争激烈的市场中，客户期望可靠的产品能够持续稳定地运行。具有高平均故障间隔时间的产品可能会吸引更多客户，因为这意味着质量和可靠性。相反，频繁故障的产品可能会导致负面评价和消费者信任的丧失。因此，公司必须专注于提高MTBF，不仅为了增强其产品供应，还为了维护与客户的良好关系。总之，平均故障间隔时间的概念对于理解系统的可靠性和性能至关重要。它提供了关于设备操作寿命的宝贵见解，并告知可以最小化停机时间和成本的维护策略。随着行业的不断发展和技术的进步，MTBF的重要性只会增加，使其成为工程师和制造商不可或缺的指标。通过在运营中优先考虑MTBF，组织可以确保提供可靠的产品，满足客户期望，并经得起时间的考验。