mean time between failures

简明释义

平均故障间隔时间

英英释义

例句

1.The mean time between failures for our servers has decreased, signaling a need for maintenance.

我们服务器的故障间隔平均时间减少，表明需要进行维护。

2.A higher mean time between failures indicates that the equipment is more reliable.

更高的故障间隔平均时间表明设备更可靠。

3.Monitoring the mean time between failures helps us identify potential issues before they escalate.

监控故障间隔平均时间帮助我们在问题升级之前识别潜在问题。

4.We need to improve our mean time between failures to reduce downtime in production.

我们需要提高我们的故障间隔平均时间以减少生产中的停机时间。

5.The engineering team calculated the mean time between failures to assess the reliability of the new system.

工程团队计算了故障间隔平均时间以评估新系统的可靠性。

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, commonly abbreviated as MTBF. The mean time between failures (平均故障间隔时间) is a measure of the average time elapsed between inherent failures of a system during operation. It helps organizations understand how often a system is likely to fail and provides insight into the overall performance and dependability of the equipment or process in question.The concept of mean time between failures is particularly important in industries such as manufacturing, aerospace, and information technology, where operational downtime can lead to significant financial losses and safety concerns. For instance, in the aviation industry, the reliability of aircraft systems is paramount. A high mean time between failures means that an aircraft can operate for extended periods without experiencing technical issues, thus ensuring passenger safety and minimizing delays.To calculate the mean time between failures, one must take the total operating time of a system and divide it by the number of failures that occur during that period. This formula can be represented as:MTBF = Total Operating Time / Number of FailuresFor example, if a machine operates for 1,000 hours and experiences 5 failures, the mean time between failures would be 200 hours. This means that, on average, the machine is expected to run for 200 hours before encountering a failure.Understanding the mean time between failures allows organizations to make informed decisions regarding maintenance schedules, spare parts inventory, and system upgrades. By identifying patterns in failures, engineers can implement preventive measures to enhance reliability. For instance, if a particular component consistently fails after a certain period, it may be beneficial to replace it proactively before it leads to a more significant system failure.Moreover, a higher mean time between failures can also improve customer satisfaction. In the service industry, for example, businesses strive to provide uninterrupted services to their clients. By investing in reliable systems that boast a high MTBF, companies can ensure that they meet customer expectations and maintain a competitive edge in the market.In conclusion, the mean time between failures is a vital metric for assessing the reliability of systems and products across various industries. By understanding and optimizing this measurement, organizations can improve operational efficiency, enhance safety, and increase customer satisfaction. As technology continues to advance, the importance of monitoring and improving MTBF will only grow, making it an essential focus for engineers and managers alike.