Gearbox Fault Diagnosis using Adaptive Zero Phase Time-varying Filter Based on Multi-scale Chirplet Sparse Signal Decomposition

When used for separating multi-component non-stationary signals, the adaptive time-varying filter(ATF) based on multi-scale chirplet sparse signal decomposition(MCSSD) generates phase shift and signal distortion. To overcome this drawback, the zero phase filter is introduced to the mentioned filter, and a fault diagnosis method for speed-changing gearbox is proposed. Firstly, the gear meshing frequency of each gearbox is estimated by chirplet path pursuit. Then, according to the estimated gear meshing frequencies, an adaptive zero phase time-varying filter(AZPTF) is designed to filter the original signal. Finally, the basis for fault diagnosis is acquired by the envelope order analysis to the filtered signal. The signal consisting of two time-varying amplitude modulation and frequency modulation(AM-FM) signals is respectively analyzed by ATF and AZPTF based on MCSSD. The simulation results show the variances between the original signals and the filtered signals yielded by AZPTF based on MCSSD are 13.67 and 41.14, which are far less than variances (323.45 and 482.86) between the original signals and the filtered signals obtained by ATF based on MCSSD. The experiment results on the vibration signals of gearboxes indicate that the vibration signals of the two speed-changing gearboxes installed on one foundation bed can be separated by AZPTF effectively. Based on the demodulation information of the vibration signal of each gearbox, the fault diagnosis can be implemented. Both simulation and experiment examples prove that the proposed filter can extract a mono-component time-varying AM-FM signal from the multi-component time-varying AM-FM signal without distortion.

ZERO PHASE ERROR REAL TIME CONTROL FOR FLIGHT SIMULATOR SERVO SYSTEM

Flight simulator is an important device and a typical high performanceposition servo system used in the hardware-in-the-loop simulation of flight control system. Withoutusing the future desired output, zero phase error controller makes the overall system's frequencyresponse exhibit zero phase shift for all frequencies and a very small gain error at low frequencyrange can be achieved. A new algorithm to design the feed forward controller is presented, in orderto reduce the phase error, the design of proposed feed forward controller uses a modified plantmodel, which is a closed loop transfer function, through which the system tracking precisionperformance can be improved greatly. Real-time control results show the effectiveness of theproposed approach in flight simulator servo system.

QFT control based on zero phase error compensation for flight simulator

To improve the robustness of high-precision servo systems, quantitative feedback theory （QFT） which aims to achieve a desired robust design over a specified region of plant uncertainty is proposed. The robust design problem can be solved using QFT but it fails to guarantee a high precision tracking. This problem is solved by a robust digital QFT control scheme based on zero phase error （ZPE） feed forward compensation. This scheme consists of two parts： a QFT controller in the closed-loop system and a ZPE feed-forward compensator. Digital QFT controller is designed to overcome the uncertainties in the system. Digital ZPE feed forward controller is used to improve the tracking precision. Simulation and real-time examples for flight simulator servo system indicate that this control scheme can guarantee both high robust performance and high position tracking precision.

Quantitative feedback theory and zero phase error tracking control combined robust control for radar truck leveling simulator

Radar leveling system is the key equipment for improving the radar mobility and survival capability. A combined quantitative feedback theory (QFT) controller is designed for the radar truck leveling simulator in this paper, which suffers from strong nonlinearities and system parameter uncertainties. QFT can reduce the plant uncertainties and stabilize the system, but it fails to obtain high-precision tracking. This drawback can be solved by a robust QFT control scheme based on zero phase error tracking control (ZPETC) compensation. The combined controller not only possesses high robustness, but greatly improves the system performance. To verify the effiectiveness and the potential of the proposed controller, a series of experiments have been carried out. Experimental results have demonstrated its robustness against a large range of parameters variation and high tracking precision performance, as well as its capability of restraining the load coupling among channels. The combined QFT controller can drive the radar truck leveling platform accurately, quickly and stably.

Zero phase error control based on neural compensation for flight simulator servo system

Using the future desired input value, zero phase error controller enables the overall system＇s frequency response exhibit zero phase shift for all frequencies and a small gain error at low frequency range, and based on this, a new algorithm is presented to design the feedforward controller. However, zero phase error controller is only suitable for certain linear system. To reduce the tracking error and improve robustness, the design of the proposed feedforward controller uses a neural compensation based on diagonal recurrent neural network. Simulation and real-time control results for flight simulator servo system show the effectiveness of the proposed approach.

Linearized Phase Detector Zero Crossing DPLL Performance Evaluation in Faded Mobile Channels

Zero Crossing Digital Phase Locked Loop with Arc Sine block (AS-ZCDPLL) is used to linearize the phase difference detection, and enhance the loop performance. The loop has faster acquisition, less steady state phase error, and wider locking range compared to the conventional ZCDPLL. This work presents a Zero Crossing Digital Phase Locked Loop with Arc Sine block (ZCDPLL-AS). The performance of the loop is analyzed under mobile faded channel conditions. The mobile channel is assumed to be two path fading channel corrupted by additive white Gaussian noise (AWGM). It is shown that for a constant filter gain, the frequency spread has no effect on the steady state phase error variance when the loop is subjected to a phase step. For a frequency step and under the same conditions, the effect on phase error is minimal.

Topological phase diagrams and Majorana zero modes of the Kitaev ladder and tube

In this paper,we study two quasi-one-dimensional（1 D） Kitaev models with ladder-like and tube-like spatial structures,respectively.Our results provide the phase diagrams and explicit expressions of the Majorana zero modes.The topological phase diagrams are obtained by decomposing the topological invariants and the topological conditions for topologically nontrivial phases are given precisely.For systems which belongs to topological class BDI,we obtain the regions in the phase diagrams where the topological numbers show even-odd effect.For the Kitaev tube model a phase factor induced by the magnetic flux in the axial direction of the tube is introduced to alter the classification of the tube Hamiltonian from class BDI to D.The Kitaev tube of class D is characterized by the Z2 index when the number of chains is odd while 0,1,2 when the number of chains is even.The phase diagrams show periodic behaviors with respect to the magnetic flux.The bulk-boundary correspondence is demonstrated by the observations that the topological conditions for the bulk topological invariant to take nontrivial values are precisely those for the existence of the Majorana zero modes.

Adaptive Zero Phase Error Feedforward Method for Robotic Force Control

In order to remove the time delay between the input and the output signals of a robot force control system,adaptive zero phase error feedforward(AZPEF)control method is presented and applied to PUMA 560 industrial robot,which has six degree of freedom(6-DOF).The whole adaptive force control algorithm is implemented on TMS320C30 micro-processor whose instruction cycle is 60ns.The results of the force control experiments prove that AZPEF force control makes robot have good robustness and quick response ability.

Phase transition and near-zero thermal expansion of Zr_(0.5)Hf_(0.5)VPO_7

The Zr（0.5）Hf（0.5）VPO7 is successfully synthesized by the solid-state method with near-zero thermal expansion. Powder x-ray diffraction（XRD）, Raman spectroscopy, thermal dilatometry, and scanning electron microscopy（SEM） are used to investigate the structure, the phase transition, and the coefficient of thermal expansion（CTE） of Zr（0.5）Hf（0.5）VPO7. The investigation results show that the samples are of the single cubic type with a space group of Pa3ˉ at room temperature（RT）.It can be inferred that the superstructure is transformed from the 3 × 3 × 3 superstructure to the 1 × 1 × 1 ideal crystal in a temperature range between 310 K and 323 K. The CTE is measured by a dilatometer to be 0.59 × 10^（-6） K^（-1）（310 K–673 K）. The values of intrinsic（XRD） and extrinsic（dilatometric） thermal expansion are both near zero. The results show that Zr（0.5）Hf（0.5）VPO7 has near-zero thermal expansion behavior over a wide temperature range.

Phase transition in a two-dimensional Ising ferromagnet based on the generalized zero-temperature Glauber dynamics

At zero temperature, based on the Ising model, the phase transition in a two-dimensional square lattice is studied using the generalized zero-temperature Glauber dynamics. Using Monte Carlo （MC） renormalization group methods, the static critical exponents and the dynamic exponent are studied; the type of phase transition is found to be of the first order.

基于变频重构S/SP拓扑的无线电能传输系统恒流恒压研究

针对电动汽车无线充电系统耦合系数和负载变化导致系统输出电流和电压剧烈波动的问题,提出一种由交错叠放式线圈结构和变频重构控制策略组成的无线电能传输系统,通过重构补偿拓扑,并切换工作频率,实现了系统的恒流恒压输出。首先,分析了拓扑重构前后系统的恒流、恒压输出特性和零相角特性,对比恒流恒压工作模式下补偿电容的大小,给出了系统参数调整方法。其次,剖析了交错叠放式线圈结构模型,提出基于耦合系数波动最小原则的线圈结构优化策略。所提出的系统补偿元件较少,两个工作频率点符合国际标准。最后,搭建一套500 W的实验样机,验证系统的可行性和有效性。实验结果表明,交错叠放式线圈在X轴方向偏移发射线圈外径的55%(187mm)或Y轴方向偏移120mm时,耦合系数波动率小于5%。系统在恒流模式下电流波动率为3.58%,在恒压模式下电压波动率为4.83%,满足无线充电系统恒流恒压需求。

集成LCC-S拓扑的二维全向无线电能传输系统无盲区能量捕获方法研究

针对二维全向无线电能传输技术存在空间磁场完整度与电流控制策略复杂度的竞争问题,该文提出一种集成LCC-S拓扑的二维全向无线电能传输系统无盲区能量捕获方法。该系统以二维正交线圈为电磁耦合机构,并将其集成于LCC-S型补偿拓扑。同时提出一种自调整参数设计方法,实现系统在二维空间内产生时均旋转磁场以及系统的零相角输入。通过场-路耦合有限元模型分析系统在二维空间内磁场分布情况,随时间峰值磁场强度矢量轨迹为圆形。搭建集成型二维全向无线电能传输的实验样机,实验结果表明,该系统实现单一电源驱动下无盲区的二维全向电磁能量捕获。

半桥驱动的恒流恒压可重构的无线电能传输系统

锂电池在充电过程中充电电压变化范围大,其等效阻抗不断增加,会带来恒流过充以及恒压欠充问题,结合锂电池在快速充电过程中的动态特性,提出一种基于半桥驱动的恒流恒压可重构的S/LCC-LCC无线电能传输(WPT)系统。半桥驱动的WPT系统仅用一个切换开关进行拓扑重构即可实现系统输出特性的切换,具有所用元件少,重构拓扑简单等特性。首先,给出了基于S/LCC-LCC的拓扑重构原理;其次,分析了半桥驱动的重构拓扑的恒流恒压以及零相角特性;再次,给出了WPT系统的异常工况以及相应解决办法;最后,搭建了仿真和实验平台。验证性的WPT系统在恒流模式能输出恒定电流3.47 A,在恒压模式能输出恒定电压48.2 V。仿真与实验结果验证了所提方法的正确性。

个体化频带滑动窗特征的轻度认知障碍诊断研究

轻度认知障碍(MCI)是老年性痴呆诊断的关键阶段,脑电(EEG)信号特征可以反映MCI患者的认知状态,帮助实现早期诊断。现有研究在EEG特征提取过程中,针对脑电各节律,大多采用固定的时间窗完成分段处理,忽略了不同节律的特征差异,从而影响诊断效果。针对该问题,本文提出了一种新的组合滑动窗优化算法,该算法通过迭代振幅调整傅里叶变换(IAAFT)对零模型的构建方法进行了改进,以此得到评估大脑动态特性指标KPLI,通过对EEG各频段信号采取多种滑动窗组合,并以KPLI指标引导,得到适合不同频段的最佳滑动窗组合。在最佳滑动窗组合基础上,对各频段组合提取相位滞后指数(PLI),进行连续小波变换(CWT)特征,通过ResNet-MLP双通道分类网络实现MCI诊断。结果显示,使用个性化组合频段滑动窗对88名受试者(32名MCI患者,36名阿尔茨海默症患者以及20名正常对照组)实现了诊断分类,得到了82.2%的分类准确率,比固定窗的分类提高了10%(得到了72.2%的分类准确率)。结果表明,基于个体化脑电节律特征组合能够更好提取MCI的特征,提高轻度认知障碍诊断的正确率与特异性,是一种有效的脑电特征提取方法。

基于柔性调控零序电压的不平衡配电网故障检测方法

在柔性消弧过程中实现故障选线、过渡电阻测量与故障性质判定对现有配电网单相接地故障检测具有重要意义。针对配电网三相对地参数不对称的柔性接地系统,首先分析不平衡零序电压对消弧效果的影响,提出柔性消弧全补偿电流的计算方法。然后分析正常运行状态下和单相接地故障状态下注入电流和母线零序电压之间的约束关系。结果表明:无论系统处于何种状态,均可通过改变注入电流来柔性调控母线零序电压,进而调控各线路零序电流。并根据柔性调控零序电压前后各线路零序电流的变化规律,提出一种可实现故障选线、过渡电阻测量和故障性质判定的故障检测方法。Matlab/Simulink仿真验证了该方法的有效性和准确性。

基于自学习的LSTM网络短路电流零点预测方法

短路故障在首个大半波内快速选相开断对提升电力系统稳定性具有重要意义。为此,本文研究并提出了一种基于自学习的长短期记忆(LSTM)网络短路电流零点预测方法。构建了基于自学习优化训练的LSTM短路电流预测模型,并采用循环迭代法对短路电流波形及过零点进行预测;搭建了RTDS试验平台,验证了自学习LSTM网络对零点预测的准确性、快速性以及稳定性;讨论了不同短路故障电流的起始相角、谐波含量、信噪比、衰减直流分量时间常数等因素对自学习LSTM预测精度的影响;仿真与试验结果表明自学习LSTM网络对短路电流零点具有较好的预测能力,当采样时间为3 ms时,自学习LSTM首零点预测精度已与RLS算法采样时间5 ms时预测精度相当,为在首个大半波内实现相控开断提供了依据。

手跳线路分相断路器失灵时预防事故扩大的方法

现场出现了几起手跳分相断路器时一相或两相断路器失灵的情况,但目前的规范并未要求手跳断路器失灵时启动失灵保护,若由零序过流保护动作切除负荷电流,可能导致事故扩大。目前南网220 kV线路保护通过修改软件实现了三相不一致和单相运行三跳动作后远跳线路对侧,但国网以及南网有些地区的保护不具备软件升级条件,提出了将手跳继电器触点和断路器三相位置不一致状态触点串联后接入纵联电流差动保护的其他保护动作开入方法。该方法简单可靠,便于实施。

1235铝合金冷加工过程中组织演变

为进一步掌握铝箔坯料在冷加工过程中的组织演变规律,以1235铝合金双零箔坯料为研究对象,探究其7.0 mm厚铸轧坯料冷轧至3.8,1.8,0.9,0.5 mm过程中第二相形貌、尺寸的变化情况。结果表明,铸轧坯料冷轧一道次后均匀化退火未改变第二相的属性,只是在一定程度上改变了相的尺寸,组织内的θ相(FeAl_(3))会发生溶解和均匀化扩散,且在高温下部分θ析出相形貌发生了变化,长大变成针状;后在一道次冷轧至1.8 mm过程中针状相发生了明显的“折断”,但在随后的冷轧过程中,针状相被破碎至5~8μm范围内以后再很难被进一步破碎,验证了针状第二相“硬而脆”的特性,说明在退火过程中控制尺寸>5μm第二相的数量的重要性。

基于拓扑重构实现恒流恒压输出的WPT系统

提出一种基于拓扑重构的具备恒流(CC)和恒压(CV)输出特性的无线电能传输(WPT)系统。该系统可从能实现CC输出的SS拓扑切换到能实现CV输出的S/LCC拓扑。相比于现存的采用拓扑重构方法实现CC和CV输出的WPT系统,所提系统仅需要一个交流开关并且无需引入多个无源元件。除此之外,该系统在整个充电过程中操作频率固定不变,这避免了频率分岔现象。同时,该系统可以实现零相位角(ZPA)运行,保证了系统的高传输效率。最后搭建一台87 W的实验样机,实验结果和理论分析保持一致,验证了所提系统的合理性。

面向风功率波动平抑的电池储能双层协调控制策略

为保证电池储能持续平抑波动,该文提出一种基于双层协调控制的电池集成储能控制策略。外层控制中,提出基于近零相位自适应滤波的风功率平滑策略,不仅使并网功率满足1、10 min时间尺度波动平抑需求,还减小了控制过程中相位滞后,并在风功率较平稳时自适应控制储能系统退出运行,有效降低了储能系统额定功率需求和运行负担。内层控制中,采用不同充、放电特性的两组磷酸铁锂电池集成以跟踪功率指令,并定义等效荷电状态(state of charge,SOC)指标衡量储能系统的整体SOC水平,随后将等效SOC与外层控制相联系,提出基于Logistic动态区间的SOC优化策略,确保优化过程中并网功率满足要求,并解决充、放电不均衡情况下的高/低SOC极端运行状态,保证电池储能持续平抑波动能力,同时可使两组电池储能接近最优放电深度(depth of discharge,DOD)运行,充分利用其循环寿命。