ID 原文 译文
19095 海量高维度的过程测量信息给传统的故障诊断算法带来极大的计算复杂度和建模复杂度，且传统诊断算法存在难以利用高阶量进行在线估计的不足。 The massive high-dimensional measurements accumulated by distributed control systems bringgreat computational and modeling complexity to the traditional fault diagnosis algorithms, which fail to take advantage of the higher-order information for online estimation.
19096 鉴于深度学习技术强大的数据表示学习和分析能力，基于深度学习的故障诊断引起了工业界和学术界的广泛关注，并促使智能过程控制更加自动化和有效。 In view of its powerful ability of representation learning, deep learning based fault diagnosis is extensively studied, both in academia and in industry, making intelligent process control more automated and effective.
19097 该文从方法上将基于深度学习的故障诊断技术分为：基于栈式自编码的故障诊断方法、基于深度置信网络的故障诊断方法、基于卷积神经网络的故障诊断方法及基于循环神经网络的故障诊断方法4类，分别进行了回顾和总结， In this paper, deep learning based fault diagnosis is reviewed and summarized as four parts, i.e., stacked auto-encoder based fault diagnosis, deep belief network based fault diagnosis, convolutional neural network based fault diagnosis, and recurrent neural network based fault diagnosis.
19098 最后从数据预处理、深度网络设计和决策3个层面对这一领域进行展望，提出了“集成创新”、“数据+知识”和“多技术融合”等故障诊断思想，阐明基于深度学习技术进行复杂系统的故障诊断仍具有巨大潜力。 Furthermore, some necessity and potential trends, "integrated innovation","data + knowledge" and "information fusion", are discussed from the view of data preprocessing, network designand decision.
19099 复杂电磁环境下，外辐射源雷达中多径杂波可能具备非平稳的跳变特性。 In the complex electromagnetic environment, multipath clutter in passive radar may be nonstationary and has jump characteristics.
19100 该文针对这种跳变型非平稳杂波，结合辐射源信号的正交频分复用(OFDM)调制特性，提出一种基于信道分段平滑的杂波抑制方法。 In order to suppress this kind of non-stationary clutter, a clutter suppressionmethod is proposed based on channel segmentation and smoothing, which combines the Orthogonal FrequencyDivision Multiplexing (OFDM) modulation of the transmitting signal.
19101 首先建立了跳变杂波的时域信号模型，然后结合OFDM信号结构将其变换到子载波域，接着在子载波域对各OFDM符号进行信道估计与分段平滑，最后利用该信道平滑值和对应段的参考信号抑制非平稳杂波。 First, the temporal domain signal modelof the jumping clutter is established. Then it is transformed into subcarrier-domain by using the OFDMstructure. After channel estimation of each OFDM symbol and smoothing the segmented channel estimation, the non-stationary clutter can be suppressed by the smoothed channel estimation and reference signal in each segment.
19102 仿真和实测数据表明，该文方法能够有效抑制跳变型的非平稳杂波。 Simulation and experiment data show that the proposed method can effectively suppress the non-stationary clutter with jumping characteristic.
19103 压缩感知(CS)理论是目前信息工程相关领域研究的前沿热点之一。 Compressed Sensing (CS) theory is one of the most active research fields in electronic informationengineering.
19104 它打破了传统的奈奎斯特采样定理，相比于其要求的最小采样频率，CS理论证明了能够从更低数目的采样中以高概率完整地恢复原始信号，在保证信息特征不丢失的前提下节省了数据采集和处理的时间成本。 CS theory overcomes the limits dictated by Nyquist sampling theorem. Compared to the requiredminimum sampling quantity, CS proves that the original signal can be restored with high probability by fewermeasurements, which saves the time cost of data acquisition and processing without losing information features.