mean time between failures

简明释义

平均故障间隔时间平均无故障时间

英英释义

例句

1.The company's new software system has a high mean time between failures, indicating its reliability.

公司的新软件系统具有很高的故障间隔时间，这表明其可靠性。

2.A low mean time between failures can lead to increased maintenance costs.

较低的故障间隔时间可能导致维护成本增加。

3.We track the mean time between failures to ensure our systems are performing optimally.

我们跟踪故障间隔时间以确保我们的系统表现最佳。

4.The engineering team is analyzing the mean time between failures to identify potential improvements.

工程团队正在分析故障间隔时间以识别潜在的改进点。

5.To improve service quality, we need to increase the mean time between failures of our equipment.

为了提高服务质量，我们需要增加设备的故障间隔时间。

作文

In the field of engineering and reliability analysis, the term mean time between failures is crucial for understanding the performance and dependability of systems. The mean time between failures (MTBF) refers to the average time elapsed between a system's inherent failures during operation. This metric is particularly significant in industries where downtime can lead to substantial financial losses or safety concerns, such as manufacturing, aviation, and information technology.To comprehend the importance of mean time between failures, one must first recognize that every system has a lifespan during which it operates effectively. Over time, wear and tear, environmental factors, and usage patterns can lead to failures. By calculating the MTBF, companies can predict how often these failures are likely to occur, allowing them to implement maintenance schedules and improve designs.For instance, consider a manufacturing plant that operates machinery continuously. If the MTBF of a particular machine is determined to be 500 hours, this means that, on average, the machine is expected to fail once every 500 hours of operation. Knowing this, the plant managers can schedule regular maintenance checks and prepare for potential downtimes, thus minimizing disruptions in production.Furthermore, the mean time between failures is not just a number; it reflects the overall reliability of a system. A higher MTBF indicates a more reliable system, while a lower MTBF suggests that a system may require frequent repairs and maintenance. This information is invaluable when making decisions about purchasing new equipment or upgrading existing systems. Companies often compare the MTBF of different products to choose the one that will provide the best value over time.Another critical aspect of MTBF is its role in safety. In industries such as aviation, where equipment failure can have catastrophic consequences, understanding the mean time between failures becomes vital. Engineers and safety analysts use MTBF data to assess risks and develop strategies to mitigate them. For example, if a certain aircraft model has a low MTBF, it might prompt airlines to reconsider their fleet composition or invest in additional training for maintenance personnel.Moreover, the calculation of mean time between failures is relatively straightforward. It can be expressed mathematically as the total operational time divided by the number of failures that occurred during that time. However, it is essential to ensure that the data used for this calculation is accurate and representative of typical operating conditions to avoid misleading conclusions.In conclusion, the mean time between failures is a vital metric that helps organizations across various industries understand the reliability and performance of their systems. By analyzing MTBF, companies can make informed decisions regarding maintenance, equipment purchases, and safety measures. Ultimately, a thorough understanding of this concept not only enhances operational efficiency but also contributes to the overall success and sustainability of a business.

在工程和可靠性分析领域，术语平均故障间隔时间对于理解系统的性能和可靠性至关重要。平均故障间隔时间（MTBF）指的是在操作过程中，系统固有故障之间的平均时间。这一指标在停机可能导致重大经济损失或安全隐患的行业中尤为重要，如制造业、航空业和信息技术。要理解平均故障间隔时间的重要性，首先必须认识到每个系统都有一个有效运行的生命周期。随着时间的推移，磨损、环境因素和使用模式可能导致故障。通过计算MTBF，公司可以预测这些故障发生的频率，从而实施维护计划并改进设计。例如，考虑一家持续运作机械的制造厂。如果某台机器的MTBF被确定为500小时，这意味着在平均情况下，该机器预计每500小时会发生一次故障。知道这一点后，工厂管理人员可以安排定期维护检查，并为潜在的停机做好准备，从而最大限度地减少生产中的干扰。此外，平均故障间隔时间不仅仅是一个数字；它反映了系统的整体可靠性。较高的MTBF表示系统更可靠，而较低的MTBF则表明系统可能需要频繁的维修和维护。这些信息在做出购买新设备或升级现有系统的决策时是非常宝贵的。公司通常会比较不同产品的MTBF，以选择在长时间内提供最佳价值的产品。MTBF的另一个关键方面是其在安全中的作用。在航空等行业，设备故障可能导致灾难性后果，因此理解平均故障间隔时间变得至关重要。工程师和安全分析师使用MTBF数据来评估风险并制定减轻风险的策略。例如，如果某种飞机型号的MTBF较低，可能会促使航空公司重新考虑其机队组成或投资于额外的维护人员培训。此外，平均故障间隔时间的计算相对简单。它可以用总操作时间除以在该时间内发生的故障数量来表示。然而，确保用于此计算的数据准确且能代表典型操作条件至关重要，以避免误导性结论。总之，平均故障间隔时间是一个重要的指标，帮助各行各业的组织了解其系统的可靠性和性能。通过分析MTBF，公司可以就维护、设备采购和安全措施做出明智的决策。最终，对这一概念的透彻理解不仅提高了运营效率，还促进了企业的整体成功和可持续发展。