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.

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.

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.

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

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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.

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。

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。

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。

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。

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。

小电流接地配电网馈线单相接地故障零序阻抗特性分析

文章以暂态零序特征为着眼点,从频域角度对小电流接地系统发生单相接地故障后的特性进行详细探讨。从线路入端零序阻抗这一随频率变化的特征量入手,深入挖掘了配电网系统中各馈线零序阻抗的阻抗特性,详细探讨了零序阻抗的幅值、相角随频率的变化规律,并针对不同的中性点接地方式以及线路是否健全加以分析,为更好地利用零序暂态信号,提高故障检测正确率夯实了基础。最后通过PSCAD搭建仿真模型验证了该特性。

基于联合多重重建自编码器的桁架损伤识别

针对桁架杆单元存在不同损伤类型时损伤特征信息难以捕捉且识别结果不准确的问题,提出了利用联合多重重建自编码器(JMRAE)进行损伤识别的方法。首先,运用JMRAE按照不同尺度数分段截取信号,将Sigmoid函数和ReLU函数进行组合以提取特征量,引入零相位成分分析(ZCA)降低特征量维度,以保留重要信息并减少数据冗余。然后,运用SoftMax分类器求解隐含层中不同片段的局部特征量,并进行特征量融合以判断结构状态。最后,运用三维桁架结构数值模型和实验室搭建桁架进行验证,并与精细复合多尺度散布熵(RCMDE)、峰度和反向传播(BP)神经网络方法进行对比研究,结果表明所提方法具有更高的损伤识别准确性。

宽增益高效率CLLLC变换器的变频双移相调制策略

在输入电压宽范围变化时,变频调制CLLLC变换器存在开关频率变化范围宽的问题,而移相调制CLLLC变换器难以实现宽范围零电压导通(ZVS)。为了实现宽输入电压CLLLC变换器的高效率,该文提出一种变频双移相调制方法。通过同时调节开关频率、一次侧全桥和二次侧全桥之间的移相角,拓宽CLLLC变换器的增益并提高其效率。采用时域分析法求解变频双移相调制CLLLC变换器的电压增益与谐振电感电流有效值,并分析频率以及移相角对电压增益和谐振电感电流有效值的影响。最后,通过搭建一台100~300 V输入、48 V/400 W输出的实验样机,验证了理论分析的正确性。

基于零相位拟合模型的野值识别及剔除方法

通道相位不一致性是影响干涉仪测向精度的重要因素之一,修正零相位校正数据能够提高测向精度。本文提出了基于零相位拟合模型的野值识别方法,通过推导零相位的线性拟合模型,建立拟合相位误差,分析出拟合相位误差服从正态分布,从而将零相位野值识别转换为拟合相位误差的粗大误差识别,最后采用3σ准则和格拉布斯准则进行粗大误差的判别及剔除。通过本方法能够有效识别并剔除零相位野值,试验计算分析表明,零相位野值识别及剔除方法能够有效提高干涉仪测向精度,并已经在工程中得到应用。

WPT系统线圈移动的零相角频率跟踪研究

在家用电器自主充电的无线电能传输(WPT)系统中,由于其难以每次移动到相同的位置,因此在初次级磁芯的相互影响下,线圈的自感会随着其相对位置的改变而发生变化,进而使得系统失谐、零相角(ZPA)频率漂移,最终影响系统的平稳运行。这里基于串联-串联(SS)型拓扑结构,提出了线圈移动条件下追踪ZPA频率的方法,通过对SS型拓扑结构的电路进行建模,推导了出现频率分裂现象(FSP)时系统ZPA对应的角频率,在Matlab仿真中建立电流相角和初级电流幅值的关系,并采用梯度下降(GD)算法分别在频率分裂是否发生两种情况下,对电流幅值的谷值和峰值进行追踪。实验结果表明:无论系统是否出现频率分裂,都可以实现ZPA频率的追踪。