The memory leak detection rule was designed in accordance with a simple philosophy.
内存泄漏检测规则是按照一种简单的理念设计的。
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。
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。
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。
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。
回归正题，泄漏检测。
Segmented leak detection should be understood this time.
这个时候就要懂得分段检漏。
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 negative pressure wave method was proposed for a pipeline leak detection system.
采用负压波法检测管线泄漏信号。
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。
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 propellant leak detection technology is one of the key technologies for spacecrafts launch and operation.
推进剂泄漏检测技术是关系到航天器正常运行和安全发射的关键技术之一。
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。
This quick, simple and accurate leak detection technique has significant application prospects for power economizing.
它简便、快速、准确，是一项具有重大现实意义的节能技术。
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 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。
By analyzing the means used by hackers to invade computer network systems, a new type of leak detection system is introduced and implemented.
分析了黑客入侵计算机网络系统的手段，提出并设计出一种新型漏洞检测系统。
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。
Fully - sealed sample piece is one of important parts of leak detection equipment and its leakproofness directly affects accuracy of measurement.
“全密封样件”是压力型泄漏检测装置的重要组成部分之一，其自身的密封性直接关系到整个装置的测量精度。
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。
应用推荐