mean time to failure

简明释义

平均无故障时间平均故障时间

英英释义

Mean time to failure (MTTF) is a measure of the average time expected until the first failure of a system or component occurs, often used in reliability engineering and maintenance.

平均故障时间(MTTF)是指在系统或组件首次发生故障之前的预期平均时间,通常用于可靠性工程和维护。

例句

1.The mean time to failure (平均故障时间) for this hardware component is estimated at 5000 hours.

这个硬件组件的平均故障时间 (mean time to failure) 预计为5000小时。

2.Reducing the mean time to failure (平均故障时间) can significantly lower maintenance costs.

降低平均故障时间 (mean time to failure) 可以显著降低维护成本。

3.Manufacturers often publish the mean time to failure (平均故障时间) of their products to attract customers.

制造商通常会公布其产品的平均故障时间 (mean time to failure) 以吸引顾客。

4.The engineering team calculated the mean time to failure (平均故障时间) for the new software to ensure reliability.

工程团队计算了新软件的平均故障时间 (mean time to failure) 以确保其可靠性。

5.A higher mean time to failure (平均故障时间) indicates better product durability.

更高的平均故障时间 (mean time to failure) 表示产品的耐用性更好。

作文

In the realm of engineering and reliability analysis, the term mean time to failure (MTTF) is of paramount importance. It serves as a critical metric that quantifies the expected time until a system or component fails under normal operating conditions. Understanding this concept is essential for engineers and designers who aim to create reliable products that meet consumer expectations and industry standards.The calculation of mean time to failure is typically based on historical data collected from similar systems or components. By analyzing the failure rates and time intervals between failures, engineers can estimate the average operational time before a failure occurs. This information is crucial for several reasons. Firstly, it helps in designing maintenance schedules. If a product has a high mean time to failure, it implies that it is likely to run longer without requiring maintenance, which can be a selling point for manufacturers.Secondly, understanding the mean time to failure allows companies to manage their inventory and supply chain more effectively. For instance, if a component has a low MTTF, it may need to be replaced more frequently, leading to higher inventory costs. On the other hand, components with a high MTTF can reduce costs associated with replacements and repairs.Moreover, the concept of mean time to failure is not limited to physical products. It can also apply to software systems. In software engineering, MTTF can refer to the average time a software application runs before encountering a critical error that leads to its failure. This is particularly relevant in industries where software reliability is crucial, such as healthcare and finance.In addition to its practical applications, the mean time to failure also plays a significant role in risk management. By knowing the MTTF of various components, organizations can assess the risks associated with potential failures. This assessment helps in prioritizing resources and efforts toward improving the reliability of the most critical components, thereby enhancing overall system performance.Furthermore, the mean time to failure can impact customer satisfaction. Products that are reliable and have a high MTTF tend to receive better reviews and foster customer loyalty. Conversely, products that fail frequently can lead to dissatisfaction and damage a company's reputation. Therefore, investing in research and development to improve MTTF can yield substantial long-term benefits for businesses.In conclusion, the term mean time to failure is a vital metric in both engineering and software development that measures the average time until a failure occurs. Its implications extend beyond mere calculations; it influences maintenance strategies, inventory management, risk assessments, and customer satisfaction. As technology continues to advance, understanding and optimizing MTTF will remain crucial for creating reliable products that meet the demands of an increasingly competitive marketplace.

在工程和可靠性分析领域,术语平均故障时间(MTTF)至关重要。它作为一个关键指标,量化了在正常操作条件下系统或组件预期的故障时间。理解这一概念对希望创造出符合消费者期望和行业标准的可靠产品的工程师和设计师来说是必不可少的。平均故障时间的计算通常基于从类似系统或组件收集的历史数据。通过分析故障率和故障之间的时间间隔,工程师可以估算故障发生前的平均运行时间。这些信息至关重要,原因有几个。首先,它有助于设计维护计划。如果一个产品具有较高的平均故障时间,这意味着它在需要维护之前可能会运行更长时间,这可能成为制造商的卖点。其次,了解平均故障时间可以帮助公司更有效地管理库存和供应链。例如,如果一个组件的MTTF较低,则可能需要更频繁地更换,从而导致更高的库存成本。另一方面,具有高MTTF的组件可以减少与替换和维修相关的成本。此外,平均故障时间的概念不仅限于物理产品。它也可以应用于软件系统。在软件工程中,MTTF可以指软件应用程序在遇到导致其失败的关键错误之前运行的平均时间。这在软件可靠性至关重要的行业(如医疗保健和金融)中特别相关。除了其实际应用外,平均故障时间在风险管理中也发挥着重要作用。通过了解各种组件的MTTF,组织可以评估与潜在故障相关的风险。这种评估有助于优先考虑资源和努力,以提高最关键组件的可靠性,从而增强整体系统性能。此外,平均故障时间还会影响客户满意度。可靠且具有高MTTF的产品往往会获得更好的评价并促进客户忠诚度。相反,频繁故障的产品可能导致不满并损害公司的声誉。因此,投资于研发以改善MTTF可以为企业带来可观的长期利益。总之,术语平均故障时间是工程和软件开发中的一个重要指标,测量故障发生的平均时间。它的影响超越了简单的计算;它影响维护策略、库存管理、风险评估和客户满意度。随着技术的不断进步,理解和优化MTTF将继续对创造出符合日益竞争市场需求的可靠产品至关重要。

相关单词

to

to详解:怎么读、什么意思、用法

failure

failure详解:怎么读、什么意思、用法