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 team tracks the mean time between failures 故障间隔时间 to schedule timely interventions.

维护团队跟踪故障间隔时间以安排及时干预。

2.Our goal is to reduce the mean time between failures 故障间隔时间 to enhance customer satisfaction.

我们的目标是减少故障间隔时间以提高客户满意度。

3.By analyzing the mean time between failures 故障间隔时间, we can identify potential areas for improvement in our manufacturing process.

通过分析故障间隔时间，我们可以确定制造过程中潜在的改进领域。

4.The engineering team aims to improve the mean time between failures 故障间隔时间 for the new software system.

工程团队的目标是提高新软件系统的故障间隔时间。

5.A higher mean time between failures 故障间隔时间 indicates a more reliable system.

更高的故障间隔时间表示系统更可靠。

作文

In the world of engineering and technology, reliability is a crucial factor that determines the success of any system or product. One of the key metrics used to assess reliability is the mean time between failures, often abbreviated as MTBF. This term refers to the average time elapsed between the occurrence of one failure of a system and the next. Understanding this concept is essential for engineers and managers alike, as it helps in planning maintenance, improving designs, and ultimately ensuring customer satisfaction.The mean time between failures is calculated by taking the total operational time of a system and dividing it 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 200 hours. This means that, on average, the machine can be expected to operate for 200 hours before encountering a failure. A higher MTBF indicates a more reliable system, while a lower MTBF suggests that the system may require improvements or more frequent maintenance.One of the primary benefits of understanding the mean time between failures is its application in preventive maintenance strategies. By analyzing MTBF data, organizations can identify patterns in equipment failures and schedule maintenance activities accordingly. This proactive approach minimizes downtime and extends the life of the equipment. For instance, if a particular machine has a low MTBF, maintenance teams can focus their efforts on that machine to prevent unexpected breakdowns that could disrupt production.Additionally, the mean time between failures plays a significant role in the design and development phase of products. Engineers can use MTBF data to evaluate the reliability of different components and materials. By selecting parts with a higher MTBF, they can create products that are less likely to fail, thus enhancing overall quality and customer satisfaction. In competitive markets, where customers expect high performance and minimal disruptions, a product's reliability can be a deciding factor in purchasing decisions.Moreover, the concept of mean time between failures is not limited to physical products; it also applies to software systems. In software engineering, MTBF can be used to measure the frequency of system crashes or bugs. By monitoring the MTBF of software applications, developers can pinpoint areas that need improvement, ensuring that users have a seamless experience. This is especially important in industries such as finance or healthcare, where software failures can have severe consequences.In conclusion, the mean time between failures is a vital metric in evaluating the reliability and performance of systems and products. Its implications extend beyond mere numbers; it influences maintenance strategies, product design, and customer satisfaction. As technology continues to evolve, the importance of understanding and optimizing MTBF will only grow. Organizations that prioritize reliability through effective use of MTBF data will not only enhance their operational efficiency but also build trust with their customers, ensuring long-term success in their respective industries.

在工程和技术的世界中，可靠性是决定任何系统或产品成功的关键因素之一。用于评估可靠性的关键指标之一是平均故障间隔时间，通常缩写为MTBF。这个术语指的是系统发生一次故障与下一次故障之间经过的平均时间。理解这一概念对工程师和管理者来说至关重要，因为它有助于计划维护、改进设计，并最终确保客户满意。平均故障间隔时间的计算方法是将系统的总运行时间除以在该时间内发生的故障数量。例如，如果一台机器运行了1000小时并经历了5次故障，则MTBF为200小时。这意味着，平均而言，该机器可以预期在遇到故障之前运行200小时。更高的MTBF表示系统更可靠，而较低的MTBF则表明系统可能需要改进或更频繁的维护。理解平均故障间隔时间的主要好处之一是其在预防性维护策略中的应用。通过分析MTBF数据，组织可以识别设备故障的模式，并相应地安排维护活动。这种主动的方法可以最小化停机时间并延长设备的使用寿命。例如，如果某台机器的MTBF较低，维护团队可以将精力集中在该机器上，以防止意外故障干扰生产。此外，平均故障间隔时间在产品的设计和开发阶段也发挥着重要作用。工程师可以利用MTBF数据评估不同组件和材料的可靠性。通过选择MTBF较高的部件，他们可以制造出不易故障的产品，从而提高整体质量和客户满意度。在竞争激烈的市场中，客户期望高性能和最小中断，产品的可靠性可能成为购买决策的决定性因素。此外，平均故障间隔时间的概念不仅限于物理产品；它也适用于软件系统。在软件工程中，MTBF可用于衡量系统崩溃或漏洞的频率。通过监控软件应用程序的MTBF，开发人员可以找出需要改进的领域，确保用户获得无缝体验。这在金融或医疗等行业尤为重要，因为软件故障可能会带来严重后果。总之，平均故障间隔时间是评估系统和产品的可靠性和性能的重要指标。其影响超越了单纯的数据；它影响维护策略、产品设计和客户满意度。随着技术的不断发展，理解和优化MTBF的重要性只会增加。优先考虑通过有效使用MTBF数据来提高可靠性的组织，不仅会提高运营效率，还会与客户建立信任，确保在各自行业中的长期成功。