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故障并行计算在船舶电力设备故障信号诊断中的应用
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  • 英文篇名:Application of fault parallel computing in fault diagnosis of marine power equipment
  • 作者:杨青 ; 王旭强 ; 刘怡
  • 英文作者:YANG Qing;WANG Xu-qiang;LIU Yi;Information Communication Company, State Grid Tianjin Electric Power Company;
  • 关键词:并行计算 ; 电力设备 ; 故障诊断 ; 船舶
  • 英文关键词:parallel computing;;power equipment;;fault diagnosis;;ships
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:国网天津市电力公司信息通信公司;
  • 出版日期:2019-01-23
  • 出版单位:舰船科学技术
  • 年:2019
  • 期:v.41
  • 基金:国家自然科学基金资助项目(61505067)
  • 语种:中文;
  • 页:JCKX201902042
  • 页数:3
  • CN:02
  • ISSN:11-1885/U
  • 分类号:125-127
摘要
船舶电力系统为自发电、自分配的独立电力系统,当电力设备出现故障时,会影响船舶的航行安全。为了对船舶电力设备故障信号进行准确的诊断,依据故障计算原理,利用故障并行计算方法进行船舶电力设备故障信号诊断,仿真试验证明,并行计算方法的故障诊断正确率与所耗时间均优于对比算法,同时,随着参与并行计算的线程的增加,诊断的实时性随之增强,是一种高效的船舶电力设备故障诊断方法。
        Ship power system is a self-generating and self-allocating independent power system. When power equipment fails, it will affect the safety of navigation. In order to accurately diagnose the fault signal of marine electric power equipment, according to the principle of fault calculation, the parallel fault calculation method is used to diagnose the fault signal of marine electric power equipment. The simulation results show that the correctness rate and the time consumed by the parallel calculation method are better than the contrast algorithm. At the same time, with the participation of the parallel calculation method, the fault diagnosis of marine electric power equipment is carried out. With the increase of the calculation line, the real-time performance of the diagnosis is enhanced. It is an efficient fault diagnosis method for marine power equipment.
引文
[1]高伟华.基于混合智能技术的抽油机电力故障诊断方法的研究[J].计算机与数字工程,2018,46(9):1905-1910,1870.
    [2]周晴红.基于红外图谱库的电力故障诊断系统设计研究[J].电脑知识与技术,2018,14(23):272-273.
    [3]王刘旺.基于云计算的电力设备监测数据的集中并行处理与诊断[D].北京:华北电力大学,2017.
    [4]刘丹.复杂故障并行计算在船舶电力系统数字仿真中的应用[J].舰船科学技术,2017,39(3A):55-57.
    [5]韦嘉,柏瑜,熊兰,等.基于OpenMP的电力系统并行故障计算实现[J].电测与仪表,2016,53(5):28-33.

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