An unconstrained monitoring system for home rehabilitation

This study described a niche telemedicine framework for home healthcare. The framework aims to transmit small but sufficient amounts of data for daily monitoring of residential subjects' basic health status. As a proof of concept, an unconstrained monitoring system of heart/respiration rates using wireless telecommunication as an application for home-visit rehabilitation therapists was developed. The system allows a nomadic home-visit therapist to acquire the health information of a patient remotely - from anywhere at any time. It consists of a sensory system for the patient and a viewer system for the therapist. A TCP/IP network connects the subsystems using a physical communication infrastructure. The proposed system showed its usefulness for both the therapist and the patient in planning and evaluating daily rehabilitation training.     

A novel competitive learning neural network based acoustictransmission system for oil-well monitoring

The optimal operation of an oil well requires the periodic measurement of temperature and pressure at the downhole. In this paper, acoustic waves are used to transmit data to the surface through the pipeline column of the well, making up a wireless transmission system. Binary data is transmitted in two frequencies, using frequency-shift keying modulation. Such transmission faces problems with noise, attenuation, and, at pipeline joints, multiple reflections and nonlinear distortion. Hence, conventional demodulation techniques do not work well in this case. The neural network presented here classifies signals received by the receiver to estimate transmitted data, using a linear-vector-quantization-based network, with the help of a preprocessing procedure that transforms time-domain incoming signals in three-dimensional images. The results have been successfully verified. The neural network estimation principles presented in this paper can be easily applied to other patterns and time-domain recognition applications     

A production system for intelligent monitoring systems

Conventional monitoring systems use data-collection techniques to obtain sensor data about various aspects of hazardous workplaces such as coal mines and provide warnings. However, they are ill-equipped for making complex decisions involving large amounts of interrelated data. Laser/RPS, a C language-based object-oriented production system, is presented, and those programming system features that can be used to develop intelligent monitoring systems are described. Potential applications of this system to underground coal mine monitoring systems are discussed     

An intelligent fitness diagnosis system using electroencephalogram with biomedical signals

This paper proposes an intelligent fitness diagnosis system (IFDS), which integrates the electroencephalogram (EEG) and electrocardiogram (ECG) biomedical signals and fitness data. IFDS detects the voltage and current produced by the users under different states of attention and meditation during exercise. Based on EEG, ECG, and fitness data, the extension method is applied to distinguish the physical and mental conditions of the users during exercise. The brainwave training system, designed by LabVIEW, analyzes the α and θ wave bands of EEG, and plots the waveforms under different states of attention and meditation simultaneously to effectively improve the users' attention. Ten subjects were included to exercise for 15 times, lasting 3 min each. The accuracy of IFDS reaches 91%. Meanwhile, IFDS indirectly diagnoses the symptoms of some diseases in the users. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

城市轨道交通新型供电系统监控试验平台研究

提出了新型供电系统监控平台设计方案,将以太网和虚拟仪器技术相结合,使用LabVIEW设计用户监视界面,实现了供电系统的实时监测。为方便设计人员调试和修改控制参数,还设计了PWM整流器子系统控制器,通过RS485总线MODBUS通讯协议实现PWM整流器子系统的即时控制和显示。论文完成监控平台的软硬件设计,通过在实际供电系统上的运用,实现了预期功能,效果明显。     

A system for monitoring the reliability of pump equipment during the operation of nuclear power stations

We describe the objectives and the main stages of the development of a system for monitoring the operational reliability of equipment in the course of operation of nuclear power stations and present the structure of a developed computer database on the reliability of this equipment. We also give some results from a statistical analysis of data on the experience gained with the operation of withdrawable parts and glands of the shafts of the reactor coolant pumps used in the reactor coolant circuit of a large-capacity pressure-tube reactor.     

A novel electrically tunable dispersion compensation system

We propose a system for tuning with an electrical signal dispersion compensation over a broad range of transmission distances for different transmission bit rates. It is composed of chirped gratings and a phase modulator with an electrical modulation signal varying to achieve the tuning in the link length for which the dispersion is compensated. It is demonstrated that with fiber gratings and a phase modulator in the proposed configuration, a broader tuning range than with the prechirp technique is achieved. The influence of the fiber grating ripples in the system behavior is also considered     

Dynamic process control and monitoring of novel S3RS based hydrogen cooling system

Hydrogen gas is circulated in a closed loop within the generators to remove heat from its active parts. Then it is cooled by gas-to-water heat exchangers that are part of the stator frame. Faster heat dissipation of generators in power plant call for hydrogen cooling system (HCS) at generating end. Purity in hydrogen (H₂) improves its ability to dissipate heat within generators. Therefore, there is an essential requirement of a highly reliable and efficient process control and monitoring system of H₂ cooling. This paper presents development and implementation of supervisory control and data acquisition (SCADA) based process control and monitoring system. It proposes a novel six stage standby redundant structured (S³RS) HCS for generators cooling in typical thermal power plant. The entire process control and monitoring of HCS has been developed and simulated on RSViewSE, a real-time industrial automation platform by Allen Bradley–Rockwell Automation. And, the system reliability of proposed S³RS process model is implemented using MATLAB. This process model satisfies the requirement of IEEE Std. C37.1™-2007, the standard for SCADA and Automation Systems. It also follows IEEE Std. 493™-1997, the standard for design of reliable industrial and commercial power systems, and IEC 60034-3, the standard for rotating electrical machines.     

一种配电变压器绕组变形故障的在线监测新方法

针对电网对变压器绕组健康状态在线监测的需求,提出了一种新的变压器绕组变形故障在线监测方法。通过在线测量两种不同负荷下一次侧和二次侧的电压电流,计算出变压器的短路电抗值,进而反映变压器绕组变形情况。此方法的突出优势在于无需空载调零,不受激磁电流变化影响,不受运行中配电变压器一次侧电压随电网电压波动的影响且精度很高。将所提方法应用于不同容量的配电变压器,仿真结果显示该方法能够精确有效地在线测量正常变压器和有不同程度变形故障的变压器的短路电抗值,从而实现配电变压器绕组变形故障的在线监测。依据本方法的特点,设计了实现短路电抗在线监测所必需的数据采集模块和分析模块。     

一种线路保护复用通道故障自诊断机制

针对线路保护复用光纤通道故障点定位的问题,在数字复接装置及保护装置上,通过检测物理层报文的编码有效性,识别通道中各位置故障标志;通过扩充通信报文保留字段,使各位置故障生成状态戳;在数字复接装置上使用心跳帧机制,解决通道故障时状态戳交换问题,通道内故障点位置能实时反映在保护装置上,实现了复用通道故障点位置在线自诊断功能。     

固体火箭发动机舰载环境无线监测系统设计

为了获取固体火箭发动机舰载环境载荷历程,设计了一套固体火箭发动机舰载环境无线监测系统.该系统通过1个局域存储控制器和多个温湿度监测节点之间的协调工作,实现了对多个联装导弹发射贮运箱内温度和相对湿度的同步监测.测试结果表明,该系统能对多个试验箱内的温度和相对湿度进行有效地监测,并具有低功耗、小体积、可靠的特点.     

基于改进GMM-CNN-GRU混合的非侵入式负荷监测方法研究

为挖掘用户侧节能减排潜力,对用户用电行为进行精细化分析和管理,提升电能利用效率,提出了一种基于高斯混合模型聚类和深度神经网络相结合的非侵入式负荷监测方法。首先,针对同一电器常出现功率相近但运行状态不一致问题,利用高斯混合模型聚类算法中“软分类”和类簇灵活的优势,对负荷工作状态进行精细分类,形成负荷用电设备实际运行情况的负荷状态特征库。其次,针对常见的应用于非侵入式负荷监测模型的深度神经网络在多标签分类时存在识别精度低等问题,提出卷积神经网络与门控循环单元混合的深度神经网络模型。最后,综合考虑外部环境数据对家庭用户用能习惯的影响,在AMPds2数据集上开展验证分析,并与其他模型进行对比。结果表明,所提的非侵入式负荷监测模型具有较高的准确性。     

A neural-net-based device for monitoring Amtrak railroad track system

This paper demonstrates the feasibility of employing artificially intelligent automation for the task of monitoring the Amtrak railroad track system in a real-time transportation environment. The neural-net-based device (automation) processes several quantities that portray the localized existence of the Amtrak system. These quantities may be one or more of the following: location of the switch on the railroad track; time of observation; and the direction of travel. Given these quantities, it is desired that the state of the system, (which can only belong to one of several distinct categories) be predicted as outputs of the automation. Possible outputs are conditions classified as NORMAL, NOT NORMAL , REVERSE, and NOT REVERSE . Implicit in the choice of a configuration of inputs and outputs is the hypothesis of the existence of a multivariable mapping connecting these inputs and outputs-a mapping that hopefully coincides with the real-world dynamics of the railroad track. The neural-net-based device is tested on a specific, already-in-place transportation control system-the Centralized Electrification & Traffic Control (CETC) system operated by Amtrak on the northeast corridor. The CETC is chosen because of the clear value which such an operational safety and security monitor would bring to it. The test results obtained in this paper confirm that artificial neural networks can be effectively used to solve the pattern recognition problem posed by the Amtrak system. To the best of the author's knowledge, no similar work is outstanding, planned, or anticipated at this time.     

一种新型智能分布式火灾报警控制系统

给出了一种分布式智能火灾报警控制系统的设计方法及系统软硬件的组成和实现。系统设计中采用多CPU的并行处理方式和智能数据处理方法,实现了系统的实时、准确报警和可靠的联动控制,利用现场总线CAN实现控制器的联网。实践表明,系统可靠性高、灵活性强、人机界面友好。     

一种新颖的燃料电池功率调节系统

质子交换膜燃料电池输出电压随负载变化而变化。根据该特点设计了250W功率调节系统。它由高频逆变器、高频变压器和周波变换器三部分组成。该功率调节系统变换环节少,具有高效、高功率密度、控制简单的优点。采用电压瞬时值反馈降低了输出电压波形的总谐波量。为开发高效、高比功率的燃料电池电源系统提供技术基础。     

A novel islanding protection system for photovoltaic inverters

It is very difficult to detect an islanding condition of a power distribution line with conventional voltage or frequency relays while the output power and the load power of utility interactive PV inverter units are in nearly balanced state in both active power and reactive power. This is because a sufficiently large voltage or frequency change cannot be expected at such a balanced state. Many studies have been reported so far to complement dead bands in combination of active and passive methods to prevent the islanding, but none of them has been successful. This paper presents the principle of a new active method called slip mode frequency shift (SMS). With this method the reactive power between the inverter and the load is made unbalanced intentionally to cause the frequency to shift as if it slips down a slide. The performance when the dead bands are eliminated effectively in the range of practical use has been examined through simulation and experiments.     

一种燃料电池独立发电逆变器的研究

本文介绍了一种单相独立发电燃料电池应急电源系统,分析了燃料电池从起动到额定功率工作、系统检测、故障保护等整套逆变装置功能,详细介绍了燃料电池起动电路、前端DC/DC变换电路、DC/AC逆变电路以及蓄电池充电电路的设计方法。最后通过实际系统测试表明,该逆变器工作稳定可靠,具有良好的工作特性。     

A novel approach for interactive protection system simulation

This paper presents a new approach for interactive power network protection system simulation. In the new approach, power system transients are simulated using an Electromagnetic Transients Program (EMTP), while protective relays can be modeled using any high-level language or commercially available software package, such as MATLAB. The interactions between power systems and relays are implemented by using an “interaction buffer”. Using this technique, the EMTP can be run in single-step, multiple-step or mixed mode. This new approach makes the protection system simulation quite efficient, flexible and accurate     

A novel mechatronic body weight support system.

A novel mechatronic body weight support (BWS) system has been developed to provide precise body weight unloading for patients with neurological or other impairments during treadmill training. The system is composed of a passive elastic spring element to take over the main unloading force and an active closed-loop controlled electric drive to generate the exact desired force. Both force generating units, the passive spring and the active electric drive, act on the patient via a polyester rope connected to a harness worn by the patient. The length of the rope can be adjusted with an electric winch to adapt the system to different patient sizes. The system is fully computer controlled. At unloading loads of up to 60 kg and walking speeds of up to 3.2 km/h, the mean unloading error and the maximum unloading error of the presented BWS system was less than 1 and 3 kg, respectively. The performance was compared with those of two purely passive BWS systems currently being used by most other rehabilitation groups. This comprised counterweight systems and static BWS systems with fixed rope lengths. Counterweight systems reached mean and maximum unloading errors of up to 5.34 and 16.22 kg, respectively. The values for the static BWS were 11.02 kg and 27.67 kg, respectively. The novel mechatronic BWS system presented in this study adjusts desired unloading changes of up to 20 kg within less than 100 ms. Thus, not only constant BWS, but also gait cycle dependent or time variant oscillations of the desired force can be realized with high accuracy. Precise and constant unloading force is believed to be an important prerequisite for BWS gait therapy, where it is important to generate physiologically correct segmental dynamics and ground reaction forces. Thus, the novel BWS system presented in this paper is an important contribution to maximize the therapeutic outcome of human gait rehabilitation.