Design of dynamic power quality monitoring and fault diagnosis system of ship-power system based on Ethernet
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摘要:
目的 现代船舶电力系统的信息化、自动化、智能化和安全运行的要求越来越高，传统的基于现场总线的船舶电力信息交换系统已经无法满足要求。 方法 通过Modbus/TCP工业以太网弥补现场总线的不足，并在此基础上联合船舶电力系统现场总线采集的固有数据和在线测量装置采集的实时数据建立数据中心，结合相关性理论和神经网络智能算法进行大数据分析， 结果 完成船舶电力系统动态电能质量监测与故障诊断，并用LabVIEW实现人机界面设计。 结论 通过实验室平台验证了该方案软、硬件实现的可行性。 Abstract:Objectives According to situation that the ship power information exchange system based on the traditional field bus has been unable to meet the needs of modern ship power system for informatization, automation, intelligent and safe operation. Methods This paper proposes the use of industrial Ethernet Modbus/TCP to make up for lack of field-bus. Then, the data center is established by collecting the inherent data of the field bus of the combined ship power system and collecting the real-time data from the online measurement device based on the Modbus/TCP. Correlation theory and neural network intelligent algorithm are used to analyze big data to complete the dynamic power quality monitoring and fault diagnosis of ship power system. Results Finally, the man-machine interface is designed with LabVIEW. Conclusions The feasibility of the software and hardware implementation of the scheme is verified by the laboratory platform. -
Key words:
- ship power system /
- big data /
- correlation /
- fault diagnosis /
- LabVIEW
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图 1 电能质量监测与诊断系统以太网互联结构图
Figure 1. System structure diagram of power quality and fault diagnosis
图 2 以太网电能质量监测与故障诊断工作过程
Figure 2. The work process diagram of power quality monitoring and fault diagnosis based on Ethernet
图 7 LabVIEW下BP神经网络主机大数据分析
Figure 7. The program of big data analysis with BP-NN in LabVIEW
图 8 船舶电力系统运行状态监视
Figure 8. Ship power system operation condition monitoring in LabVIEW
图 9 船舶电力系统检测与故障诊断系统硬件平台
Figure 9. Hardware platform of marine power system inspection and fault diagnosis system
表 1 左螺旋桨异物缠绕（右螺旋桨正常）互相关
Table 1. The cross-correlation number of the left propeller winded by foreign body(right propeller is normal)
变量 Data1 Data2 Data3 Data4 Data5 Data6 r 0.892 0.845 0.601 0.632 0.877 0.813 
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表 2 螺旋桨正常相关（水域突变）
Table 2. The correlation number of propeller (A mutation occurred in the water field)
变量 Data1 Data2 Data3 Data4 Data5 Data6 r 0.875 0.890 0.640 0.676 0.892 0.897 rprop* 0.941 0.953 0.978 0.947 0.955 0.942 rWatcr* 0.943 0.947 0.846 0.848 0.950 0.946 a 0.002 0.006 0.132 0.101 0.005 0.004
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