Leak detection solutions vary in their ability to detect leaks.
检漏溶液的检漏能力是不同的。
High Voltage Leak Detection module is part of an inline processing system.
高压泄漏检测模块是嵌入式处理系统的一部分。
The leak detection pump (LDP) is used only with certain emission packages.
渗漏检测泵(LDP)仅用于一定的废气密封装置。
Figure 1 shows a sample notification generated by the memory leak detection feature.
图1显示了由内存泄漏检测特性所产生的示例通知。
A novel leak detection and location method for oil pipeline network is proposed.
提出了一种新颖的基于模式识别的输油管网泄漏检测与定位的方法。
The overall constitution and function of oil pipeline leak detection system are studied.
讨论了输油管道泄漏检测系统的总体构成及功能。
WebSphere Extended Deployment provides a number of policies that configure memory leak detection.
WebSphereExtendedDeployment提供了许多配置内存泄漏检测的策略。
The leak detection hole axis should pass the middle of two neighboring studs clearance holes.
检漏孔中心线应对两相邻螺柱通孔跨中。
Comparative analysis is well suited to be used in conjunction with lightweight memory leak detection.
比较分析非常适合与轻量级内存泄漏检测一起使用。
A model was constructed in laboratory to simulate the acoustic emission pipeline leak detection.
在实验室条件下，建立了压力管道泄漏的声发射检测模型。
The experiment results indicate, the method can greatly improve the accuracy in leak detection for pipelines.
实验结果表明，该种方法能有效地提高管道泄漏检测的准确性。
Seiler Vakuumtechnik GmbH is a manufacturer of Helium leak detection systems and special - purpose equipment.
赛乐真空技术有限责任公司是氦检漏系统和专用设备的制造厂家。
The leak detection techniques and leak handling process of the refinery circulating water system are described.
阐述了炼油厂循环水系统漏油时的查漏方法及处理过程。
Oil pipeline leak detection and location is an important topic for reducing oil loss and environment protection.
输油管线的泄漏故障诊断对于减少经济损失和环境污染有着很大的意义。
This essay introduces the theory and method of helium mass-spectrum leak detection for vacuum system of condenser.
本文系统地介绍了凝汽器真空系统氦质谱检漏原理和方法。
Helium is used for arc welding and leak detection, mostly, although NASA USES it to pressurize space shuttle fuel tanks.
虽然美国宇航局用它来给航天飞船的燃料箱加压，氦主要还是用来做弧焊和裂纹检测。
In this paper boiler leakage is researched in the view of heat balance, to provide some new signals for leak detection.
本文从热平衡角度来研究锅炉泄漏，为泄漏检测技术提供更多新的泄漏信息。
The method of leak detection and location for pipelines based on instantaneous pressure wave is most widely used in practice.
基于瞬态压力波的泄漏检测和定位方法在实际中得到广泛的应用。
The equipment adopts a form, specially for the transitions cummins gearbox shell sealing leak detection of special equipment.
本设备采用单工位形式，专门用于康明斯齿轮箱壳体密封性检漏的专用设备。
The first stage is a lightweight memory leak detection mechanism running within the production WebSphere Application Server runtime.
第一阶段是轻量级内存泄漏检测机制，运行于生产WebSphereApplicationServer运行时中。
Lightweight leak detection is able to identify the presence of the leak early on and automatically generate the appropriate heap dumps.
轻量级泄漏检测能够确定早期泄漏的出现，并自动产生适当的堆转储。
This tool can be used to analyze (offline) these dumps obtained manually or produced in conjunction with lightweight memory leak detection.
此工具可用于分析(脱机)手动获取或结合使用轻量级内存泄漏检测生成的这些转储。
Lightweight memory leak detection is completely configurable and is designed to interact with advanced autonomic managers or custom JMX clients.
可以完全配置轻量级内存泄漏检测，并将其设计为与高级自主管理器或自定义JMX客户机交互。
Administrators are able to run lightweight memory leak detection in test and production environments and receive early notification of memory leaks.
管理员能够在测试或生产环境中运行轻量级内存泄漏检测，并可以在早期接收内存泄漏的通知。
Our memory leak detection mechanism will generally automate this process of looking for consistently downward trends in free memory after a GC cycle.
我们的内存泄漏检测机制通常会自动执行以下过程：即查找垃圾收集周期之后可用内存不断下降的趋势。
This lightweight memory leak detection facility is available on all versions of WebSphere Application Server starting with version 6.0, for all platforms.
这一轻量级内存泄漏检测工具可用于从6.0版开始的所有WebSphereApplicationServer版本上，并可用于所有平台。
Based on transient model method and acoustic leak detection method, a complete set of high-pressure gas pipeline leak experimental device is designed.
设计了一套完整的基于瞬态模型法和声波泄漏检测法的高压输气管线泄漏试验装置。
To solve the leak detection and location problem in pipeline flux, we built neural network model based on the difference of leak wave and normal signal.
为了解决目前管道流量泄漏监测和定位问题，根据管道泄漏应力波和正常信号的区别，建立神经网络模型。
Lightweight memory leak detection in WebSphere Application Server is designed to provide early detection of memory problems in test and production environments.
WebSphereApplicationServer中的轻量级内存泄漏检测是为了在测试和生产环境中提供内存问题的早期检测而设计的。
Lightweight memory leak detection in WebSphere Application Server is designed to provide early detection of memory problems in test and production environments.
WebSphereApplicationServer中的轻量级内存泄漏检测是为了在测试和生产环境中提供内存问题的早期检测而设计的。
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