Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main wind energy converter at present has very complex technical system containing a huge number of components,actuators an...Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main wind energy converter at present has very complex technical system containing a huge number of components,actuators and sensors. However, despite of the hardware redundancy, sensor faults have often affected the wind turbine normal operation and thus caused energy generation loss. In this paper, aiming at the wind turbine hydraulic pitch system, data-driven design of process monitoring(PM) and diagnosis has been realized in the wind turbine benchmark. Fault tolerant control(FTC) strategies focused on sensor faults have also been presented here, where with the implementation of soft sensor the sensor fault can be handled and the performance of the system is improved. The performance of this method is demonstrated with the wind turbine benchmark provided by Math Works.展开更多
为对地铁监测数据进行科学分析,在传统“双控”指标分析方法的基础上,引入并改进统计过程控制(statistics process control,SPC)技术,建立新的分析方法。参考基础性国标GB 50068—2018《建筑结构可靠性设计统一标准》中的相关规定,明确...为对地铁监测数据进行科学分析,在传统“双控”指标分析方法的基础上,引入并改进统计过程控制(statistics process control,SPC)技术,建立新的分析方法。参考基础性国标GB 50068—2018《建筑结构可靠性设计统一标准》中的相关规定,明确SPC技术的理论依据3σ准则对应的假设检验显著性水平α=0.27%明显偏小。提出应该以α=5%建立适用于土木工程领域的分析准则,即2σ非连续准则;并将新准则与SPC结合,形成适用于地铁工程建设的监测数据分析方法。最后,基于工程实例验证了新方法的可行性。经研究可以明确:1)引入SPC可以充分利用监测数据,分析出传统分析方法不易识别出的数据变化特征;2)改进SPC技术更加满足地铁工程建设领域的基本要求,对数据的分析判定也更加严格。展开更多
为了解决电能质量在线监测和波动数据不易被获取的问题,提出一种电能在线监测系统设计方法。提出的方法中,电能在线监测系统由HLW8012芯片、RS-485通信协议和视窗控制中心(Windows Control Center,WinCC)组态的可编程逻辑控制器(Program...为了解决电能质量在线监测和波动数据不易被获取的问题,提出一种电能在线监测系统设计方法。提出的方法中,电能在线监测系统由HLW8012芯片、RS-485通信协议和视窗控制中心(Windows Control Center,WinCC)组态的可编程逻辑控制器(Programmable Logic Controller,PLC)构成,除了可以实时获取电源的输出电压、电流、功率和波动变化数据,还可以对工作温度进行监测。在实验室中对该监测系统进行验证,分析所采集的数据,验证了该系统具有一定的稳定性,能够满足使用需求。展开更多
文章在MES环境下构建了基于OPC(OLE for Process Control)和RFID(Radio Frequency Identification)技术的生产过程数据实时采集模块,并以GDI+(Graphics Device Interface+)图形可视化技术开发了以工作站为生产监控单元的可动态配置的可...文章在MES环境下构建了基于OPC(OLE for Process Control)和RFID(Radio Frequency Identification)技术的生产过程数据实时采集模块,并以GDI+(Graphics Device Interface+)图形可视化技术开发了以工作站为生产监控单元的可动态配置的可视化生产过程监控模块。该平台具有多种数据存储方式,并集成了与其他系统交互的接口模块,实现了异构系统之间的数据共享。最后在某车桥总装厂验证了该系统的可行性与有效性。展开更多
基金the National Natural Science Foundation of China(No.51205018)the Fundamental Research Funds for the Central Universities of China(No.FRF-TP-14-121A2)the Research Project of State Key Laboratory of Mechanical System and Vibration(No.MSV-2014-09)
文摘Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main wind energy converter at present has very complex technical system containing a huge number of components,actuators and sensors. However, despite of the hardware redundancy, sensor faults have often affected the wind turbine normal operation and thus caused energy generation loss. In this paper, aiming at the wind turbine hydraulic pitch system, data-driven design of process monitoring(PM) and diagnosis has been realized in the wind turbine benchmark. Fault tolerant control(FTC) strategies focused on sensor faults have also been presented here, where with the implementation of soft sensor the sensor fault can be handled and the performance of the system is improved. The performance of this method is demonstrated with the wind turbine benchmark provided by Math Works.
文摘为对地铁监测数据进行科学分析,在传统“双控”指标分析方法的基础上,引入并改进统计过程控制(statistics process control,SPC)技术,建立新的分析方法。参考基础性国标GB 50068—2018《建筑结构可靠性设计统一标准》中的相关规定,明确SPC技术的理论依据3σ准则对应的假设检验显著性水平α=0.27%明显偏小。提出应该以α=5%建立适用于土木工程领域的分析准则,即2σ非连续准则;并将新准则与SPC结合,形成适用于地铁工程建设的监测数据分析方法。最后,基于工程实例验证了新方法的可行性。经研究可以明确:1)引入SPC可以充分利用监测数据,分析出传统分析方法不易识别出的数据变化特征;2)改进SPC技术更加满足地铁工程建设领域的基本要求,对数据的分析判定也更加严格。
文摘为了解决电能质量在线监测和波动数据不易被获取的问题,提出一种电能在线监测系统设计方法。提出的方法中,电能在线监测系统由HLW8012芯片、RS-485通信协议和视窗控制中心(Windows Control Center,WinCC)组态的可编程逻辑控制器(Programmable Logic Controller,PLC)构成,除了可以实时获取电源的输出电压、电流、功率和波动变化数据,还可以对工作温度进行监测。在实验室中对该监测系统进行验证,分析所采集的数据,验证了该系统具有一定的稳定性,能够满足使用需求。
文摘文章在MES环境下构建了基于OPC(OLE for Process Control)和RFID(Radio Frequency Identification)技术的生产过程数据实时采集模块,并以GDI+(Graphics Device Interface+)图形可视化技术开发了以工作站为生产监控单元的可动态配置的可视化生产过程监控模块。该平台具有多种数据存储方式,并集成了与其他系统交互的接口模块,实现了异构系统之间的数据共享。最后在某车桥总装厂验证了该系统的可行性与有效性。
