阀控铅酸蓄电池需要维护测试和故障预测。
Valve regulated lead acid battery monitoring and failure prediction are necessary.
变压器故障诊断和故障预测是保证其正常运行并进行状态维修的基础。
Transformer fault diagnose and fault prediction are the basis of the transformer condition based maintenance.
运用该方法，通过编制程序可实现复杂旋转机械系统的在线监测和故障预测，确保机组正常平稳地运行。
It also can program composition for implement on-line monitor and fault forecast on main driving shaft and then guarantee the complex rotary machinery even running.
仿真研究给出了基于新息灰理论的工业实例建模过程和故障预测结果，并与BP神经网络方法的计算结果进行比较，验证了新息灰预测方法的有效性与实用性。
The modeling procedure of emulation based on FIGPM is presented, and the prediction result is compared with BP neural networks. It is proved that IGPM has good practicability and validity.
通常采用的电池容量试验和通过监测电池电压预测单体电池故障的方法不是理想的方法。
But the normal method of cell failure prediction which depend on the battery capacity test and cell voltage is not ideal method.
将灰色系统理论应用于设备的故障诊断，较好地解决了设备状态预测和故障模式识别的问题。
By applying the theory of grey system to diagnosing equipment breakdown, the problems of state prediction and trouble-mode recognition of equipment can be solved.
在电站锅炉系统中，由于其复杂性、非线性性、大延迟性等特点，对锅炉故障的预测和诊断相当困难。
It's very difficult to forecast and diagnose boiler faults because of the complexity, nonlinear and large time delay in plant boiler system.
对获得的312个架次数据进行了处理，结果表明该方法可有效地识别和预测磁带记录器卡滞类故障。
The results indicate that this method can identify and forecast effectively the over - friction malfunction of flight data tape recorder by processing 312 sorties of flight data.
蒙特卡罗方法和故障树分析相结合是当前对大规模复杂系统进行可靠性分析预测的最有效途径之一。
The combination of the Monte-Carlo and fault tree analysis is one of the most effective way of analyzing and predicting the reliability of complex large-scale system.
铁谱磨粒分析技术，可从微观角度对动态过程进行监测，以预测、诊断和及时处理非正常磨损早期故障。
The early malfunction of abnormal wear can be predicted, diagnosed and handled in time by using ferrography to monitor the running procedure from the microscopic view.
该研究为非线性运动系统的在线监测、故障诊断和状态预测开辟了有效途径。
The research can be generalized to any nonlinear dynamical system and gives a new approach for monitoring condition, fault diagnosis and prediction online.
故障诊断和寿命预测是民航发动机健康管理的重要内容，是实现发动机视情维修的主要技术手段。
Fault diagnosis and life predication are key parts of civil aviation engine heath management system, and are the important means to achieve on-condition maintenance.
智能分析技术，包括状态预测和故障诊断。
Intelligent analysis technology includes status prediction and fault diagnosis.
本发明披露了一种用于预测存储设备故障的装置、系统和方法。
An apparatus, system, and method are disclosed for predicting storage device failure.
对变压器的运行状态和潜伏性故障进行有效预测，可避免出现维修不足或过度维修。
It will avoid the shortage of maintenance or excessive maintenance that the operational status and the latent faults of a power transformer are effectively predicted.
通过对各部件多维故障特征参量的预测和故障模糊评判，可以自动分析出部件存在的故障及可能性概率。
Potential faults of parts and their probability will be analyzed automatically through the forecast of Multidimensional faulty characteristic parameters and fuzzy assessment.
提出采用时序逻辑系统描述故障的概念，推演故障的性质和相互关系，对故障进行分类，并预测将要发生的故障。
The temporal logic system is proposed to describe the concepts of faults, inter the attributes of faults with their correlation and classes, and predict what faults will happen.
文中以内燃机连杆钢套磨损为例，介绍了其在内燃机维修状态预测和故障珍断上的应用。
Taking for example the wear of connecting rod copper sleeve, the paper introduces the application of this method to the prediction of internal combustion engine maintenance and fault detection.
对于执行高强度训练和作战任务的大口径火炮而言，故障预测技术是实现预知维修，提高火炮战备完好性和任务成功性的有效手段。
The fault forecast technology is an effective means to improve the combat readiness and mission reliability for large caliber guns that often carry out high-strength training and battle tasks.
汽车维修中的诊断技术是在不解体的情况下发现隐蔽故障、预测未来的技术状况和准确判断维修时间的有效方法。
Diagnosis in motor vehicle maintenance serves the function of discovering latent troubles, predicting technical conditions and precisely judging the maintenance intervals without vehicle dismantling.
故障预测是非常重要的，以确保武器装备安全性和可靠性。
Fault prediction is of great importance to ensuring weapon equipment safety and reliability.
这些参数的测量，可以帮助网络管理单元进行故障预测和故障定位。
Measuring of these parameters will help management unit forecast the fault and find the fault position of optical link.
基于粗糙集数据挖掘理论的汽轮机故障预测和诊断，提出了一种新的方法，旨在克服现有的一些实现方法的知识短缺。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aimed at overcoming shortages of some current knowledge attaining methods.
文章采用红外测温的方法对电主轴进行在线检测，建立温度模型，对电主轴温升及其故障进行预测和报警。
The objective of this research is to model and forecast the temperature of motorized spindle by on-line infrared thermometer.
本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。
In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.
设备性能和寿命的主要变量可以用于预测故障，提供维修行动警报，增加正常运行时间及降低平均修复时间。
Key variables of equipment performance and life can be used to predict failure, provide alerts for maintenance action, increase uptime and lower MTTR.
利用此系统，可以充分发挥网络平台的优势，对装置故障进行有效诊断和预测，为船舶管理提供辅助决策。
Using this system, it can fully take advantages of network platform and effectively diagnose and forecast main propulsion plant failures, it can provide decision-making AIDS for ship Management.
应用恩泰克预测维修（PM）系统对大庆油田化学助剂厂大型旋转设备进行了状态监测和故障诊断。
Status monitoring and trouble diagnosis for large rotary equipment of chemical assistant factory in Daqing Oil Field have been carried out by PM system.
同时保存下来的数据可以用于离线分析，有利于对故障规律进行研究和预测，对日后的电网设计和保护设备配置提供参考。
At the same time the data kept can be used in off-line analysis, help to research and predict the fault law and offer reference to design the power net and dispose the protect device in the future.
这些模型可以被用来作为先行一步的预测进行比较的信号故障检测和诊断的目的。
These models can be used as one step ahead predictors allowing comparison of signals for the purposes of fault detection and diagnosis.
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