首页> 外文期刊>Journal of automation and information sciences >Technologies for Early Monitoring of Technical Objects Using the Estimates of Noise Distribution Density
【24h】

Technologies for Early Monitoring of Technical Objects Using the Estimates of Noise Distribution Density

机译:利用噪声分布密度估计值对技术对象进行早期监视的技术

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

It is shown that the technologies for monitoring technical objects using combinations of estimates of the root mean square deviation, mathematical expectation, distribution density, its maximum and inflection points of each individual noisy signal and all incoming signals together make it possible to determine the initial period of malfunction origin and the dynamics of its development. The specifics of using a noise distribution density of a noisy signal with a nonzero mathematical expectation for early monitoring of accidents of various technical objects are considered. The technologies of early monitoring of technical objects based on analysis of estimates of noise characteristics are developed. It is shown that to detect a defect occurrence on an early stage it is necessary to create a data bank consisting of these estimates obtained at different time instants and to conduct an analysis. Moreover, for each type of defect its own bank of informative features is compiled in which there is established a correspondence between the values of noise characteristics and degree of development of this type of defect. The matrix of informative features of development dynamics of each type of technological object malfunction is compiled. It is noted that construction of matrices of informative features for all possible type of technical objects malfunctions makes it possible to identify on the initial stage the moment of defect origin, to determine its development dynamics and thereby to conduct the early monitoring of accidents. The examples of created technologies application are given. The specificity of compiling of noise-matrix of early seismic monitoring of construction sites is shown. It is noted that as a result of introducing the developed technology into the monitoring system, after each low-power earthquake, the technical state of a building structure is analyzed and a message is issued on measures that need to be taken in this particular case. The technology for compiling a noise-table of accidents start in the monitoring system of drilling rigs was developed. This technology application results in system informing a drill master about degree and intensity of damage development. The technology for detecting the early stage of malfunction occurrence of heat supply facilities was developed. The importance of this technology application in transportation of gas or other combustible substance is noted.
机译:结果表明,通过使用均方根偏差估计值,数学期望值,分布密度,每个单个噪声信号以及所有传入信号的最大和拐点的组合来监视技术对象的技术,可以确定初始周期故障起源及其发展动态。考虑了使用具有非零数学期望的噪声信号的噪声分布密度来早期监视各种技术对象的事故的细节。开发了基于对噪声特性的估计分析的技术对象的早期监视技术。结果表明,要尽早发现缺陷,有必要创建一个数据库,其中包含在不同时刻获得的这些估计值,并进行分析。而且,对于每种类型的缺陷,其自己的信息特征库被编译,其中在噪声特性的值与这种类型缺陷的发展程度之间建立了对应关系。编译每种类型的技术对象故障的发展动态的信息特征矩阵。要注意的是,针对所有可能类型的技术对象故障的信息特征矩阵的构建,使得可以在初始阶段识别缺陷产生的时刻,确定缺陷的发展动态,从而对事故进行早期监控。给出了创建技术应用程序的示例。给出了施工现场早期地震监测噪声矩阵编制的特殊性。应当指出,由于将开发的技术引入监视系统,因此在每次低功率地震之后,都会分析建筑结构的技术状态,并发出有关在这种特殊情况下需要采取的措施的消息。开发了在钻机的监视系统中生成事故噪音表的技术。该技术的应用导致系统将损坏发展的程度和强度通知钻师。开发了用于检测供热设备故障的早期阶段的技术。指出了该技术在气体或其他可燃物质运输中的重要性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号