A large part of our daily lives is spent with audio information. Massive obstacles are frequently presented by the colossal amounts of acoustic information and the incredibly quick processing times. This results in th...A large part of our daily lives is spent with audio information. Massive obstacles are frequently presented by the colossal amounts of acoustic information and the incredibly quick processing times. This results in the need for applications and methodologies that are capable of automatically analyzing these contents. These technologies can be applied in automatic contentanalysis and emergency response systems. Breaks in manual communication usually occur in emergencies leading to accidents and equipment damage. The audio signal does a good job by sending a signal underground, which warrants action from an emergency management team at the surface. This paper, therefore, seeks to design and simulate an audio signal alerting and automatic control system using Unity Pro XL to substitute manual communication of emergencies and manual control of equipment. Sound data were trained using the neural network technique of machine learning. The metrics used are Fast Fourier transform magnitude, zero crossing rate, root mean square, and percentage error. Sounds were detected with an error of approximately 17%;thus, the system can detect sounds with an accuracy of 83%. With more data training, the system can detect sounds with minimal or no error. The paper, therefore, has critical policy implications about communication, safety, and health for underground mine.展开更多
In this paper,an embedded real-time control system for automatic rotor balancing was studied.Benefiting from the modular design,this system can be easily re-constituted or expanded under different working conditions.T...In this paper,an embedded real-time control system for automatic rotor balancing was studied.Benefiting from the modular design,this system can be easily re-constituted or expanded under different working conditions.The special designed hardware resists harsh environment.As an embedded application,it was very important to save system consumptions on both hardware and software,so the algorithms for unbalance vibration identification and attenuation were deduced,meantime a unified fast algorithm structure was achieved through the geometric analysis.Based on this structure,the signal processing algorithm was tested by an open data source,while the control algorithm was simulated using a basic rotor model,and then connected to a hyper gravity machine running online auto-balancing.The result confirms that the unbalancing vibration is effectively restrained.展开更多
自动电压控制(Automatic Voltage Control,AVC)是现代电力系统控制的重要功能,厂站端母线电压自动调节功能对电网的安全与稳定有着重要影响。本文介绍了AVC系统基本原理和自动电压控制技术理论依据,根据现场AVC工程技术经验总结,对AVC...自动电压控制(Automatic Voltage Control,AVC)是现代电力系统控制的重要功能,厂站端母线电压自动调节功能对电网的安全与稳定有着重要影响。本文介绍了AVC系统基本原理和自动电压控制技术理论依据,根据现场AVC工程技术经验总结,对AVC系统结构与通信、AVC子站系统信号与数据流向进行了总结与分析设计,提出了厂站端AVC投退与安全逻辑、增减磁控制逻辑的设计方案,并结合华东电网某抽水蓄能电站现场调试工程应用对所提厂站端AVC系统逻辑设计方案进行了验证,在工程上对AVC逻辑设计与应用具有指导意义。展开更多
文摘A large part of our daily lives is spent with audio information. Massive obstacles are frequently presented by the colossal amounts of acoustic information and the incredibly quick processing times. This results in the need for applications and methodologies that are capable of automatically analyzing these contents. These technologies can be applied in automatic contentanalysis and emergency response systems. Breaks in manual communication usually occur in emergencies leading to accidents and equipment damage. The audio signal does a good job by sending a signal underground, which warrants action from an emergency management team at the surface. This paper, therefore, seeks to design and simulate an audio signal alerting and automatic control system using Unity Pro XL to substitute manual communication of emergencies and manual control of equipment. Sound data were trained using the neural network technique of machine learning. The metrics used are Fast Fourier transform magnitude, zero crossing rate, root mean square, and percentage error. Sounds were detected with an error of approximately 17%;thus, the system can detect sounds with an accuracy of 83%. With more data training, the system can detect sounds with minimal or no error. The paper, therefore, has critical policy implications about communication, safety, and health for underground mine.
基金National Natural Science Foundation of China(No.50635010)
文摘In this paper,an embedded real-time control system for automatic rotor balancing was studied.Benefiting from the modular design,this system can be easily re-constituted or expanded under different working conditions.The special designed hardware resists harsh environment.As an embedded application,it was very important to save system consumptions on both hardware and software,so the algorithms for unbalance vibration identification and attenuation were deduced,meantime a unified fast algorithm structure was achieved through the geometric analysis.Based on this structure,the signal processing algorithm was tested by an open data source,while the control algorithm was simulated using a basic rotor model,and then connected to a hyper gravity machine running online auto-balancing.The result confirms that the unbalancing vibration is effectively restrained.
文摘自动电压控制(Automatic Voltage Control,AVC)是现代电力系统控制的重要功能,厂站端母线电压自动调节功能对电网的安全与稳定有着重要影响。本文介绍了AVC系统基本原理和自动电压控制技术理论依据,根据现场AVC工程技术经验总结,对AVC系统结构与通信、AVC子站系统信号与数据流向进行了总结与分析设计,提出了厂站端AVC投退与安全逻辑、增减磁控制逻辑的设计方案,并结合华东电网某抽水蓄能电站现场调试工程应用对所提厂站端AVC系统逻辑设计方案进行了验证,在工程上对AVC逻辑设计与应用具有指导意义。
