remaining service life

简明释义

剩余使用寿命［固定资产］

英英释义

例句

1.Regular maintenance can significantly extend the remaining service life of machinery.

定期维护可以显著延长机器的剩余使用寿命。

2.The engineer assessed the equipment and estimated its remaining service life to be five more years.

工程师评估了设备，估计其剩余使用寿命为五年。

3.A thorough inspection revealed that the remaining service life of the bridge is less than expected.

彻底检查显示，桥梁的剩余使用寿命低于预期。

4.Before purchasing a used vehicle, it's essential to check its remaining service life to avoid future repairs.

在购买二手车之前，检查其剩余使用寿命是很重要的，以避免未来的维修。

5.The construction manager reported that the remaining service life of the building's foundation is adequate for another decade.

施工经理报告说，建筑基础的剩余使用寿命足够再用十年。

作文

The concept of remaining service life is crucial in various fields, particularly in engineering, manufacturing, and asset management. It refers to the estimated time period that a particular asset or component can continue to function effectively before it needs to be replaced or undergo significant repairs. Understanding the remaining service life of an asset is essential for making informed decisions regarding maintenance, replacement, and resource allocation.In engineering, knowing the remaining service life of structures such as bridges, buildings, and roads can help prevent catastrophic failures. Engineers often conduct assessments to determine how much longer these structures can safely remain in use. Factors such as material fatigue, environmental conditions, and usage patterns all play a role in assessing the remaining service life. For instance, a bridge that has been subjected to heavy traffic for decades may have a significantly reduced remaining service life compared to a similar bridge that has experienced minimal use.In manufacturing, the remaining service life of machinery and equipment is vital for production efficiency. Companies strive to maximize the lifespan of their assets while minimizing downtime caused by repairs or replacements. By monitoring the performance and wear of machinery, manufacturers can predict when a piece of equipment will fail and schedule maintenance accordingly. This proactive approach not only extends the remaining service life of the equipment but also contributes to cost savings and improved productivity.Asset management also heavily relies on understanding the remaining service life of various components. Organizations need to allocate budgets for maintenance and replacement based on accurate assessments of their assets' lifespans. For example, in the energy sector, the remaining service life of power generation equipment must be carefully evaluated to ensure reliable energy supply. If a power plant's turbines are nearing the end of their remaining service life, the utility company must plan for either refurbishment or replacement to avoid outages.Moreover, advancements in technology have made it easier to assess the remaining service life of assets. Predictive maintenance tools, which utilize data analytics and machine learning, can analyze operating conditions and historical performance to provide more accurate estimates of how long equipment will last. This shift from reactive to predictive maintenance allows organizations to make better decisions regarding their assets and optimize their lifecycle management strategies.In conclusion, the concept of remaining service life is integral across various sectors, influencing decisions related to safety, efficiency, and cost management. By accurately assessing the remaining service life of assets, organizations can enhance their operational effectiveness and ensure sustainability in their practices. Whether in engineering, manufacturing, or asset management, understanding and managing the remaining service life is vital for long-term success and reliability.

“剩余使用寿命”这一概念在多个领域中至关重要，尤其是在工程、制造和资产管理方面。它指的是某个特定资产或组件能够继续有效运行的估计时间期限，直到需要更换或进行重大维修。了解资产的剩余使用寿命对于做出有关维护、更换和资源分配的明智决策至关重要。在工程领域，了解桥梁、建筑和道路等结构的剩余使用寿命可以帮助防止灾难性故障。工程师通常会进行评估，以确定这些结构在安全使用上还能维持多久。材料疲劳、环境条件和使用模式等因素都在评估剩余使用寿命时起着作用。例如，一座经历了几十年重载交通的桥梁，其剩余使用寿命可能显著减少，而一座类似的桥梁如果使用量很小，则剩余使用寿命可能较长。在制造业中，机械和设备的剩余使用寿命对生产效率至关重要。企业努力最大限度地延长其资产的使用寿命，同时将因维修或更换而导致的停机时间降到最低。通过监测机器的性能和磨损情况，制造商可以预测设备何时会发生故障，并相应安排维护。这种主动的方法不仅延长了设备的剩余使用寿命，还为企业节省了成本并提高了生产力。资产管理也严重依赖于了解各种组件的剩余使用寿命。组织需要根据资产使用寿命的准确评估来分配维护和更换的预算。例如，在能源部门，发电设备的剩余使用寿命必须仔细评估，以确保可靠的能源供应。如果一家发电厂的涡轮机接近其剩余使用寿命，公用事业公司就必须计划进行翻新或更换，以避免停电。此外，技术的进步使得评估资产的剩余使用寿命变得更加容易。预测性维护工具利用数据分析和机器学习，可以分析操作条件和历史性能，从而提供更准确的设备使用寿命估计。这种从反应式维护转向预测性维护的转变，使组织能够更好地做出关于资产的决策，并优化其生命周期管理策略。总之，剩余使用寿命的概念在各个部门中都是不可或缺的，影响着与安全、效率和成本管理相关的决策。通过准确评估资产的剩余使用寿命，组织可以提高其运营效率，确保实践的可持续性。无论是在工程、制造还是资产管理中，理解和管理剩余使用寿命对于长期成功和可靠性至关重要。