diagnosability

简明释义

英[ˌdaɪəɡˈnəʊzəˌbɪlɪti]美[ˌdaɪəɡˈnoʊzəˌbɪlɪti]

可诊断性

英英释义

单词用法

同义词

反义词

例句

1.In addition, this paper discusses the diagnosability and the selection of test frequencies in dynamic linear analog circuits.

本文还研究了电路的可诊断性以及测试频率的选择问题。

2.The fault diagnosis problem of active network is studied in this paper with the emphasis upon its solvability and diagnosability.

本文研究有源网络的故障诊断问题，着重研究其可解性与可诊断性。

3.Our goal was to hand developers the exact repro steps and system environment Settings, as well as expose the behavior of frameworks and code they use, to drastically improve their diagnosability.

我们的目标是交给程序员准确的重现步骤、系统环境设置、以及公布他们使用的framework或者代码的行为，以彻底的提高程序的可诊断性。

4.Our goal was to hand developers the exact repro steps and system environment Settings, as well as expose the behavior of frameworks and code they use, to drastically improve their diagnosability.

我们的目标是交给程序员准确的重现步骤、系统环境设置、以及公布他们使用的framework或者代码的行为，以彻底的提高程序的可诊断性。

5.The approach of fault diagnosis and the problem of fault diagnosability are researched for linear systems with state delays.

研究含有状态时滞的线性系统的故障诊断方法及故障的可诊断性问题。

6.The fault diagnosability evaluation method of the momentum wheel based on the quantitative and qualitative model was proposed to enhance its fault diagnosis performance.

为了提高动量轮的故障诊断性能，采用定量与定性相结合的方法对故障可诊断性评价方法开展研究。

7.To improve diagnosability, we implemented better logging mechanisms.

为了提高可诊断性，我们实施了更好的日志记录机制。

8.High diagnosability in medical devices can lead to faster patient care.

医疗设备的高可诊断性可以加快病人护理。

9.Engineers focus on enhancing the diagnosability of their products to reduce downtime.

工程师专注于提高产品的可诊断性以减少停机时间。

10.The diagnosability of network issues is crucial for maintaining service quality.

网络问题的可诊断性对维护服务质量至关重要。

11.The new software update improved the system's diagnosability, making it easier for technicians to identify issues.

新的软件更新提高了系统的可诊断性，使技术人员更容易识别问题。

作文

In today's rapidly evolving technological landscape, the concept of diagnosability (可诊断性) has become increasingly important. This term refers to the ability to identify and understand problems within a system or process effectively. As systems grow more complex, ensuring that they are easily diagnosable can significantly enhance their reliability and performance. In this essay, I will explore the importance of diagnosability in various fields, including software development, healthcare, and engineering.Firstly, in software development, diagnosability plays a crucial role in maintaining and improving applications. When developers create software, they must ensure that any issues can be quickly identified and resolved. A highly diagnosable system allows developers to trace errors and bugs efficiently, reducing downtime and improving user experience. For instance, when an application crashes, a well-designed error logging system can provide detailed information about the crash, such as the state of the application at the time of failure and the specific error codes involved. This information enables developers to address the root cause of the problem rather than merely treating its symptoms.Moreover, in the field of healthcare, diagnosability is vital for patient safety and effective treatment. Medical professionals rely on diagnostic tools and procedures to accurately identify illnesses and conditions. The more diagnosable a patient's symptoms are, the easier it becomes for healthcare providers to develop an appropriate treatment plan. For example, advanced imaging technologies like MRI and CT scans improve the diagnosability of complex medical conditions, allowing doctors to make informed decisions based on clear visual evidence. Consequently, enhancing the diagnosability of health-related issues can lead to better patient outcomes and more efficient use of medical resources.In engineering, particularly in the design of complex systems and machinery, diagnosability is also critical. Engineers strive to create systems that not only perform their intended functions but can also be monitored and diagnosed effectively. For instance, in the automotive industry, modern vehicles are equipped with onboard diagnostics that allow mechanics to quickly assess the health of various components. This level of diagnosability ensures that potential issues can be detected early, preventing costly repairs and enhancing vehicle safety. By designing systems with high diagnosability, engineers contribute to the longevity and reliability of their products.Furthermore, the significance of diagnosability extends beyond individual systems; it impacts entire organizations. Companies that prioritize diagnosability in their processes often enjoy higher efficiency and productivity. For example, businesses that implement robust monitoring systems can quickly identify operational bottlenecks and address them before they escalate into larger issues. This proactive approach fosters a culture of continuous improvement and innovation, allowing organizations to adapt swiftly to changing market demands.In conclusion, diagnosability (可诊断性) is a fundamental aspect of modern technology and systems across various fields. Its importance cannot be overstated, as it enhances problem-solving capabilities, improves safety, and contributes to overall efficiency. By focusing on improving diagnosability, we can build more resilient systems that not only perform well but are also equipped to handle challenges effectively. As we move forward in an increasingly complex world, prioritizing diagnosability will be essential for success in any endeavor.

在当今快速发展的技术环境中，diagnosability（可诊断性）这一概念变得越来越重要。这个术语指的是有效识别和理解系统或过程中的问题的能力。随着系统变得越来越复杂，确保它们易于诊断可以显著提高其可靠性和性能。在这篇文章中，我将探讨diagnosability在软件开发、医疗保健和工程等各个领域的重要性。首先，在软件开发中，diagnosability在维护和改善应用程序方面发挥着至关重要的作用。当开发人员创建软件时，他们必须确保任何问题都能迅速识别和解决。一个高度diagnosable的系统使开发人员能够有效地追踪错误和漏洞，从而减少停机时间并改善用户体验。例如，当应用程序崩溃时，一个设计良好的错误日志记录系统可以提供关于崩溃的详细信息，例如崩溃时应用程序的状态和涉及的具体错误代码。这些信息使开发人员能够解决问题的根本原因，而不仅仅是处理其症状。此外，在医疗保健领域，diagnosability对患者安全和有效治疗至关重要。医疗专业人员依赖诊断工具和程序来准确识别疾病和病症。患者症状的可diagnosable性越高，医疗服务提供者制定适当治疗计划的难度就越小。例如，先进的成像技术如MRI和CT扫描提高了复杂医疗条件的diagnosability，使医生能够根据清晰的视觉证据做出明智的决策。因此，增强健康相关问题的diagnosability可以导致更好的患者结果和更有效的医疗资源利用。在工程领域，尤其是在复杂系统和机械的设计中，diagnosability同样至关重要。工程师努力创建不仅能执行其预期功能，而且还可以有效监测和诊断的系统。例如，在汽车工业中，现代车辆配备了车载诊断系统，允许机械师快速评估各种组件的健康状况。这种diagnosability的水平确保潜在问题能够及早被发现，从而防止昂贵的维修并增强车辆安全性。通过设计具有高diagnosability的系统，工程师为其产品的耐用性和可靠性做出了贡献。此外，diagnosability的重要性超越了单个系统；它影响整个组织。优先考虑diagnosability的公司通常享有更高的效率和生产力。例如，实施强大监控系统的企业可以快速识别操作瓶颈，并在其升级为更大问题之前加以解决。这种主动的方法促进了持续改进和创新的文化，使组织能够迅速适应不断变化的市场需求。总之，diagnosability（可诊断性）是现代技术和各个领域系统的基本方面。它的重要性不容小觑，因为它增强了问题解决能力，提高了安全性，并有助于整体效率。通过专注于改善diagnosability，我们可以构建更具韧性的系统，这些系统不仅表现良好，而且还具备有效应对挑战的能力。随着我们在日益复杂的世界中前进，优先考虑diagnosability将是任何事业成功的关键。