STUDY ON REALISTIC TECHNOLOGY OF CONDITION MONITORING AND FAULT DIAGNOSTIC SYSTEM FOR SHIPPING POWER DEVICES

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A Study on a Remote Monitoring and Diagnosis System and Its Application

Remote monitoring and diagnosis （RMD） is a new kind of monitoring and diagnosis technology that combines computer science, communication technology and fault diagnosis technology. Via the Internet a remote monitoring and diagnosis system can be established. In this paper, the model of an Internet based remote monitoring and diagnosis system is presented; the function of every part of the RMD system is discussed. Then, we introduce a practical example of a remote monitoring and diagnosis system that we established in a factory; its traits and functions are described.

Application of Voltage Response Method to Condition Assessment of Power Transformer

Power transformer is one of the most important equipment in the power system.Its operating condition affects the reliability of power supply directly.Therefore,in order to guarantee transformer operation safely and reliably,it is necessary to assess condition of power transformer accurately.Return voltage method based on voltage response measurements is still a new non-intrusive diagnosis method for internal insulation aging of transformer.In this paper the technique and application of return voltage measurement and some results of voltage response measurements of several transformers was introduced.Voltage response measurements were performed on various transformers with different voltage grades,various operating periods,different moisture contents and aging degrees on site.Derived moisture contents from return voltage measurement were compared with the corresponding moisture contents obtained from the analysis of oil samples.Based on on-site experiments and theoretical analysis,the criteria for insulation state of transformer are proposed.Moisture condition of transformer insulation can be determined by using return dominant time constant,and a good correlation between aging degree and the return voltage initial slopes of the aged transformers.Field test performed on several transformers,its interpretation of results are also presented,which proves that return voltage measurements can be used as a reliable tool for evaluating moisture content in transformer insulation.

Analysis of Condition-Based Maintenance for High-Valtage Electric Power

The development process of high-voltage electric power equipment maintenance was introduced. It is pointed out that the trend of high-voltage electric power equipment maintenance is so called condition-based maintenance. With the development of computer technology and sensors, on-line monitoring of high-voltage electric power equipment has developed rapidly. By introducing the main principle of Schering bridge to measure tanδ, the way of on-line monitoring of high-voltage electric power equipment was explained. Difference methods of on-line monitoring of insulation parameters for 35 kV substation were discussed. Finally, the shortcomings as well as its tendency of on-line monitoring were analyzed.

Review of condition monitoring and fault diagnosis for marine power systems

The use of condition monitoring and fault diagnosis(CMFD)in marine power systems significantly influences ship safety.This study divides the development of CMFD for marine power systems into three periods and reviews the content,state and limitations of CMFD research for each period.According to the research achievements and engineering experience of the authors’team,typical application cases are introduced for CMFD in ships,including CMFD platforms on engineering ships,salvage ships,container ships and ro-ro ships powered by solar photovoltaic systems.Finally,prospective research directions are proposed for CMFD in marine power systems,considering the research status of CMFD and the trend toward intelligent and eco-friendly ships.

Intelligent Examination Monitoring and Maintenance for the Safety of Operation of Flexible Manufacturing Systems

Based on the system of electric power supply for flexible manufacturing systems (FMS), a study has been carried out on the intelligent safety examination, monitoring and maintenance of its running environment. On the basis of the specific feature of the power supply network of an FMS, real time monitoring system of the power supply network and the fault diagnostic expert system for the power equipment have been designed. This system can diagnose not only definite fault phenomena, but also fuzzy, uncertain fault phenomena as well. Fault diagnostic knowledge base for the power equipment has been founded hierarchy architecture model and the method of fault tree analysis. Feasibility of this system has been proved by computer simulation.

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Electric power conversion system （EPCS）, which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine （DD-WT）. However, this component accounts for the most failures （approximately 60% of the total number） in the entire DD-WT system according to statistical data. To improve the reliability of EPCSs and reduce the operation and maintenance cost of DD-WTs, numerous researchers have studied condition monitoring （CM） and fault diagnostics （FD）. Numerous CM and FD techniques, which have respective advantages and disadvantages, have emerged. This paper provides an overview of the CM, FD, and operation control of EPCSs in DD-WTs under faults. After introducing the functional principle and structure of EPCS, this survey discusses the common failures in wind generators and power converters; briefly reviewed CM and FD methods and operation control of these generators and power converters under faults; and discussed the grid voltage faults related to EPCSs in DD-WTs. These theories and their related technical concepts are systematically discussed. Finally, predicted development trends are presented. The paper provides a valuable reference for developing service quality evaluation methods and fault operation control systems to achieve high-performance and high-intelligence DD-WTs.

新型电力系统设备状态监测与故障诊断传感芯片关键技术与展望

随着新型电力系统的建设与发展,电力关键设备运行环境发生改变,运行过程也面临更多风险。电力关键设备的状态监测和故障诊断技术是其正常运行的保障,但目前仍存在不足。集信号采集、数据分析、信息传输功能于一体的传感芯片将能够实现在线、实时、准确的关键设备状态监测和故障诊断。文中从面向新型电力系统的设备状态监测和故障诊断传感芯片的基本概念出发,综述了传感芯片的传感采集、信号处理、数据分析及信息传输4项关键技术的发展现状,指出关键技术面临的挑战。最后,展望了未来电力关键设备状态监测和故障诊断研究方向。

基于钢轨电位时空关联的钢轨对地绝缘缺陷诊断方法

[目的]以钢轨电位为监测对象的各监测点数据间在时空上存在关联,钢轨对钢筋结构电阻变化后的直接表现形式为钢轨电位的变化。应基于钢轨电位时空关联的特点,对钢轨对地绝缘状态监测及缺陷诊断的方法进行深入研究。[方法]阐述了以钢轨电位为监测对象的杂散电流监测系统。对绝缘缺陷下的钢轨电位数据特征进行了分析,建立了数据的特征矩阵。基于闵可夫斯基距离的异常检测原理,阐述了钢轨对地绝缘异常区段的检测步骤,以及绝缘缺陷定位的检测步骤,提出了基于钢轨电位时空关联的钢轨绝缘缺陷诊断方法。以青岛某城市轨道交通工程为案例进行建模仿真,用以评估所提方法的有效性及准确性。[结果及结论]该方法能对钢轨绝缘状态进行有效监测,可准确定位绝缘缺陷位置。

变压器状态评估及故障诊断研究综述

电力变压器状态评估及故障诊断为设备安全稳定运行提供了重要保障。在电力大数据广泛应用的背景下,智能电网结构快速构建,电力设备状态数据呈现出数量大、类型多等特征,因而变压器状态评估及故障诊断算法由阈值判断法逐步过渡为机器学习等算法。本文作者总结了近年来国内外变压器监测研究中采用的方法;概述了变压器状态评估和故障诊断领域的研究现状,介绍了常用算法相关原理,包括模糊理论法、集对分析法、传统机器学习算法、预测算法和深度机器学习算法等;分析了目前该领域亟需解决的问题,并对未来研究方向进行了展望。

变电站电力设备声纹振动在线监测技术研究

声纹振动监测技术作为一种新兴的在线监测手段,已在变电站电力设备的运行状态监测中得到广泛应用。在过去几年里,随着传感器技术、信号处理技术和数据分析算法的不断发展,声纹振动监测技术取得了显著的进展。本文深入研究了变电站电力设备的声纹振动监测技术,探讨了系统架构故障诊断与预测方法,并设计了声纹振动在线监测系统。研究结果表明,声纹振动监测技术在变电站电力设备故障识别和预测方面具有很高的准确性和可靠性。

核电厂应急柴油发电机状态监测和故障诊断系统研究

核电厂应急柴油发电机状态监测和故障诊断系统作为核电厂应急柴油发电机可靠性提升的最优方案,得到了核电行业专家高度认可,但因其系统复杂性,目前没有一款成熟产品面世。本文针对核电应急柴油发电机特殊环境和功能要求,以解决柴油发电机启动成功率要求高和有效避免重大设备灾难性损坏问题为目标,从状态监测、故障诊断、健康评估三个方面阐述了核电站应急柴油发电机状态监测和故障诊断系统的开发需求,并以柴油发电机仿真模型建立和验证为基础,分析了状态监测系统研发中定期试验、启停模块、带卸载模块,以及故障诊断中热力参数模块、往复运动模块、振动模块的关键点。希望本文能够为核电厂应急柴油发电机状态监测和故障诊断系统开发提供借鉴参考。

矿用高压配电装置绝缘监视保护试验装置

在当前阶段,针对矿用高压配电装置绝缘监视保护功能动作时间的测试方法,行业内尚缺乏明确和统一的标准。鉴于矿用高压配电装置在煤矿井下电力系统中的重要地位,以及其绝缘监视保护功能对于保障电力系统安全稳定运行的关键作用,对动作时间的准确测试显得尤为重要。然而,现有的测试方法往往存在操作复杂、结果不稳定等问题,难以满足实际工作的需要。针对这一现状,本文根据行业标准要求及绝缘监视保护的工作原理,提出了一种新的检验方式,并基于这一新的检验方式,进一步设计了专门的试验装置。该装置具有结构简单、操作方便等优点,能够实现对矿用高压配电装置绝缘监视保护功能动作时间的快速、准确测试,成功简化了矿用高压配电装置绝缘监视保护功能动作时间的检验流程,使得检验工作更加简单可行。

基于数字孪生技术的110 kV电力设备运行状态监测方法

为提升110 kV电力设备的运行稳定性,需要对其运行状态进行监测,该文根据数字孪生技术,以浙江金华110 kV亚体变为例,通过无线网络、机器人等方式,对电力设备运行状态数据信息进行收集,基于数字孪生技术,进行数字信号模拟,将物理实体转化成数字虚拟体,构建电力设备运行状态孪生模型,实现110 kV电力设备运行状态的检测。传统的电力设备监测其监测效率、监测精度较低,通过数字孪生技术的支撑,构建新的监测模型,有效提升变电站电力设备的可靠性与安全性,以供参考。

数字孪生驱动的煤矿机电设备状态监控和诊断

针对煤矿机电设备状态监控与维护的现实需求,深入研究了数字孪生技术的应用潜力。首先界定了煤矿机电设备数字孪生的内涵,进而构建了一个层次化的数字孪生架构,能够全面支持设备的全生命周期管理。在状态监控与诊断方面,提出了一种新颖的数字孪生系统架构设计,明确界定了架构的目标与功能,并详细规划了其核心组件。此外,采用了一种基于卷积神经网络(CNN)的设备故障诊断方法,提升诊断的精确性和效率。为煤矿机电设备的智能化管理和维护提供了新的理论框架和技术路径,对推动相关领域的技术进步具有重要的理论和实践意义。

基于改进贝叶斯网络的电力设备绝缘故障诊断方法

为保障电力系统的安全、高效运行,实现对电力设备绝缘故障的准确诊断,提高电力设备的可靠性,利用改进贝叶斯网络,提出了一种全新的绝缘故障诊断方法。首先,利用传感器进行电力设备状态信号采样;其次,利用统计特征提取方法,确定可能影响绝缘性能的特征参数,提取电力设备绝缘故障特征;再次,在此基础上,基于改进贝叶斯网络建立绝缘故障诊断模型,初步判断设备的健康状态;最后,计算各故障节点的后验概率,实现故障诊断与推理目标。实验结果表明,应用该方法进行故障诊断,具有较小的诊断误差,能够更准确地诊断电力设备的绝缘性能指标。

卷烟设备状态关键数据分析方法与技术

卷烟设备状态监测是综合应用现代科学和技术,通过研究设备运行过程中变化的状态信息,使用信号分析和处理等手段,对设备健康运行状态、故障类型和严重程度进行综合评价。卷烟生产设备作为结构紧凑、复杂且精密的产品加工设备,在运行保障性上提出了较高的要求。本文在传统故障监测和诊断方法基础上,探讨了基于机器视觉、人工智能和大数据分析等技术的卷烟设备状态监测技术。监测设备运行状态,预测设备可能出现的故障,并及时采取措施,提高设备的可靠性和稳定性。

人工智能在智能变电站设备状态监测中的应用

文中针对智能变电站设备的运行状况监护需求,研发了一套融合尖端人工智能技术的监测策略。通过深入剖析具体案例,证实了该方案在性能上的卓越表现。传统的监测手段在精度和即时性上有局限性,无法迎合智能电网的高标准要求。在这种情境下,人工智能技术凭借其在数据剖析、图式辨识以及未来走向预估等的卓越能力,为变电站设备的状态监控带来了变革。此外,论述了该监控策略,涵盖了原始数据的筛选与整合、监控算法的构建,以及异常状况的识别与未来潜在故障的预估等核心步骤。经过实证可知,该策略提升了预警系统的精确度,优化了运维工作的流程,降低了设备故障的发生率,保障了智能电网的稳健运作。

基于智能监控的光伏发电系统效率提升技术研究

随着人们对可再生能源的日益重视,光伏发电系统在清洁能源领域发挥着重要作用。文章介绍光伏发电系统的基本原理和构成,分析智能监控技术在光伏发电系统中的应用,深入研究智能优化调度与功率控制技术、设备状态监测与维护管理技术等关键技术。通过实验分析,验证了所提出方法的有效性和可行性,为光伏发电系统的进一步发展和应用提供重要参考。

数字化库技术在绝缘油油色谱监测中的应用研究

文章旨在探讨数字化库技术在绝缘油油色谱监测中的应用,通过提升电力设备的安全性,满足电力行业对设备状态准确监测的需求。研究结果表明,引入数字化库技术显著提高了监测效率和准确性。文章为电力行业提供了重要的工具和方法,推动了数字化转型,对企业和社会具有积极影响。