mean operating time between failures

简明释义

故障间的平均工作时间故障间的平均运行时间无故障平均运行时间

英英释义

例句

1.A higher mean operating time between failures indicates a more reliable product in the electronics industry.

更高的平均故障间的运行时间表明电子产品更可靠。

2.In the automotive sector, manufacturers strive to enhance the mean operating time between failures of their vehicles.

在汽车行业，制造商努力提高其车辆的平均故障间的运行时间。

3.The maintenance department tracks the mean operating time between failures to schedule preventive maintenance effectively.

维护部门跟踪平均故障间的运行时间以有效安排预防性维护。

4.The engineering team calculated the mean operating time between failures to assess the reliability of the new machinery.

工程团队计算了平均故障间的运行时间以评估新机器的可靠性。

5.To improve service quality, the company aims to increase the mean operating time between failures of its software systems.

为了提高服务质量，公司旨在增加其软件系统的平均故障间的运行时间。

作文

In the realm of engineering and maintenance, understanding the reliability of systems is crucial. One of the key metrics used to assess this reliability is the mean operating time between failures. This term refers to the average time a system operates before it experiences a failure. It is a critical indicator for engineers and managers alike, as it helps in planning maintenance schedules, predicting system performance, and ensuring safety standards are met.To elaborate further, the mean operating time between failures (often abbreviated as MTBF) provides insights into how often a system is likely to fail during its operation. For instance, if a machine has an MTBF of 1000 hours, it implies that, on average, the machine will run for 1000 hours before a failure occurs. This information is vital for industries that rely heavily on machinery and equipment, such as manufacturing, aviation, and healthcare.The calculation of MTBF involves recording the total operational time of the system and dividing it by the number of failures that occur during that period. For example, if a factory's conveyor belt operates for 5000 hours and experiences 5 failures during that time, the MTBF would be calculated as follows: 5000 hours divided by 5 failures equals 1000 hours. This metric allows companies to gauge the reliability of their equipment and make informed decisions about repairs and replacements.Moreover, improving the mean operating time between failures is often a goal for many organizations. By analyzing the causes of failures, companies can implement preventive measures, enhance training for operators, and invest in higher quality components. For instance, regular maintenance checks can help identify potential issues before they lead to a failure, thereby extending the operational time of the system.Additionally, the MTBF can influence customer satisfaction and overall business performance. A higher MTBF indicates a more reliable product, which can lead to fewer disruptions in service and increased trust from customers. In competitive markets, businesses that prioritize reliability and minimize downtime through effective management of their MTBF often gain a significant advantage.However, it is essential to note that while MTBF is a valuable metric, it should not be the sole focus. Other factors, such as the cost of maintenance, the complexity of repairs, and the impact of failures on operations, also play a crucial role in overall system performance. Therefore, a holistic approach that considers MTBF alongside these factors is necessary for optimal management of operational systems.In conclusion, the mean operating time between failures serves as a fundamental measure of reliability in various industries. By understanding and leveraging this metric, organizations can enhance their operational efficiency, reduce costs, and improve customer satisfaction. As technology continues to evolve, the methods for calculating and improving MTBF will likely become even more sophisticated, further emphasizing the importance of this metric in the pursuit of excellence in engineering and maintenance practices.

在工程和维护领域，理解系统的可靠性至关重要。评估这种可靠性的关键指标之一是平均故障间隔时间。这个术语指的是系统在经历故障之前运行的平均时间。它是工程师和管理者的重要指标，因为它有助于规划维护时间表、预测系统性能，并确保满足安全标准。进一步阐述，平均故障间隔时间（通常缩写为MTBF）提供了系统在运行过程中可能发生故障的频率的见解。例如，如果一台机器的MTBF为1000小时，这意味着该机器平均将在1000小时内运行，之后会发生故障。这一信息对依赖机械和设备的行业至关重要，如制造业、航空业和医疗保健。MTBF的计算涉及记录系统的总运行时间，并将其除以在该期间内发生的故障数量。例如，如果一家工厂的输送带运行了5000小时，并在此期间经历了5次故障，则MTBF的计算如下：5000小时除以5次故障等于1000小时。这个指标使公司能够评估其设备的可靠性，并做出有关维修和更换的明智决策。此外，提高平均故障间隔时间通常是许多组织的目标。通过分析故障原因，公司可以实施预防措施、增强操作人员的培训，并投资于更高质量的组件。例如，定期维护检查可以帮助识别潜在问题，从而在导致故障之前解决这些问题，从而延长系统的运行时间。此外，MTBF还会影响客户满意度和整体业务表现。较高的MTBF表示产品更可靠，这可以导致服务中断减少以及客户信任度的提高。在竞争激烈的市场中，优先考虑可靠性并通过有效管理MTBF来最小化停机时间的企业往往获得显著优势。然而，值得注意的是，尽管MTBF是一个有价值的指标，但不应成为唯一关注点。其他因素，如维护成本、维修复杂性和故障对运营的影响，也在整体系统性能中发挥着关键作用。因此，考虑MTBF与这些因素相结合的整体方法对于最佳管理操作系统是必要的。总之，平均故障间隔时间作为各行业可靠性的基本衡量标准。通过理解和利用这一指标，组织可以提高其运营效率、降低成本并改善客户满意度。随着技术的不断发展，计算和改善MTBF的方法可能变得更加复杂，进一步强调了这一指标在追求工程和维护实践卓越中的重要性。