failure detection

简明释义

故障检测

英英释义

例句

1.With failure detection, we can reduce downtime significantly.

通过故障检测，我们可以显著减少停机时间。

2.We implemented failure detection in our software to monitor performance issues.

我们在软件中实施了故障检测以监控性能问题。

3.The failure detection process helps identify problems before they escalate.

故障检测过程有助于在问题升级之前识别问题。

4.Our network uses failure detection to quickly respond to outages.

我们的网络使用故障检测来快速响应停机。

5.The system includes advanced failure detection mechanisms to ensure reliability.

该系统包括先进的故障检测机制，以确保可靠性。

作文

In today's rapidly advancing technological landscape, the concept of failure detection (故障检测) has become increasingly significant. It refers to the process of identifying and diagnosing faults or failures in a system before they lead to catastrophic outcomes. This is especially crucial in industries such as aerospace, automotive, and manufacturing, where even minor errors can result in severe consequences. The ability to effectively implement failure detection (故障检测) mechanisms not only enhances safety but also improves operational efficiency and reduces maintenance costs.One of the primary methods of failure detection (故障检测) is through the use of sensors and monitoring systems. These devices continuously gather data from various components of a machine or system, allowing for real-time analysis. For example, in an aircraft, sensors monitor engine performance, temperature, and pressure levels. If any readings deviate from normal parameters, the failure detection (故障检测) system triggers an alert, enabling engineers to take corrective actions before a failure occurs.Another important aspect of failure detection (故障检测) is predictive maintenance. By analyzing historical data and using advanced algorithms, organizations can predict when a component is likely to fail. This proactive approach allows for scheduled maintenance, which minimizes downtime and extends the lifespan of equipment. For instance, many modern manufacturing plants utilize predictive analytics to forecast machinery failures, ensuring that production processes remain uninterrupted.Moreover, the integration of artificial intelligence (AI) and machine learning into failure detection (故障检测) systems has revolutionized the way we approach fault identification. AI algorithms can learn from past failures and continuously improve their accuracy in detecting anomalies. This not only speeds up the detection process but also reduces the likelihood of false positives, which can lead to unnecessary downtime and increased costs.The importance of failure detection (故障检测) extends beyond just machinery and equipment. In software development, for example, it plays a crucial role in ensuring the reliability of applications. Bugs and errors can significantly affect user experience and lead to financial losses. Therefore, developers employ various testing techniques to identify and rectify issues early in the development cycle. Automated testing tools, for instance, can quickly detect potential failures, allowing teams to address them promptly.In conclusion, failure detection (故障检测) is an essential practice across multiple industries, contributing to enhanced safety, efficiency, and reliability. As technology continues to evolve, the methods and tools used for failure detection (故障检测) will also advance, leading to even more sophisticated systems capable of preventing failures before they happen. Organizations that prioritize failure detection (故障检测) will not only safeguard their operations but also gain a competitive edge in the market by ensuring high-quality products and services. Embracing this practice is not just a technical necessity; it is a strategic imperative in today’s world.

在当今快速发展的技术环境中，故障检测（failure detection）这一概念变得越来越重要。它指的是识别和诊断系统中的故障或失效的过程，以防止其导致灾难性的后果。这在航空航天、汽车和制造等行业尤为重要，因为即使是微小的错误也可能导致严重的后果。有效实施故障检测（failure detection）机制不仅可以提高安全性，还能改善运营效率并降低维护成本。故障检测（failure detection）的主要方法之一是使用传感器和监测系统。这些设备持续收集机器或系统各个组件的数据，从而实现实时分析。例如，在飞机中，传感器监测发动机性能、温度和压力水平。如果任何读数偏离正常参数，故障检测（failure detection）系统就会触发警报，使工程师能够在故障发生之前采取纠正措施。故障检测（failure detection）的另一个重要方面是预测性维护。通过分析历史数据并使用先进算法，组织可以预测某个组件何时可能发生故障。这种主动的方法允许进行定期维护，从而最小化停机时间并延长设备的使用寿命。例如，许多现代制造工厂利用预测分析来预测机械故障，确保生产过程不受干扰。此外，将人工智能（AI）和机器学习集成到故障检测（failure detection）系统中，彻底改变了我们处理故障识别的方式。AI算法可以从过去的故障中学习，并不断提高其检测异常的准确性。这不仅加快了检测过程，还减少了误报的可能性，从而避免不必要的停机和增加成本。故障检测（failure detection）的重要性不仅限于机械和设备。在软件开发中，它在确保应用程序可靠性方面也发挥着至关重要的作用。错误和缺陷可能严重影响用户体验并导致财务损失。因此，开发人员采用各种测试技术，在开发周期的早期识别和修复问题。例如，自动化测试工具可以快速检测潜在故障，使团队能够及时解决这些问题。总之，故障检测（failure detection）是多个行业的重要实践，有助于提高安全性、效率和可靠性。随着技术的不断发展，用于故障检测（failure detection）的方法和工具也将不断进步，导致更复杂的系统能够在故障发生之前进行预防。优先考虑故障检测（failure detection）的组织不仅可以保护其运营，还能通过确保高质量的产品和服务在市场中获得竞争优势。拥抱这一实践不仅是技术上的必要性，更是当今世界的战略必然。