Page 52 - 2024中国无损检测年度报告
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4.4 电气装备的智能状态监测                                    joints[J]. IEEE Sensors Journal, 2025, 25(2):
                                                                 3490-3502.
                   首先,总结了飞机电源系统中的主要故障模
              式、故障特点和失效原因,并提出一种飞机电源                                   [6] Liu Q, Song P, Yan J, et al. In-situ
                                                                 monitoring of failure modes in composite
              健康管理系统的设计架构,指出了飞机电源系统
              故障诊断技术面临的挑战和发展趋势。其次,提                              bolted joint structures using CB/CNT
                                                                 piezoresistive  sensor[J].  IEEE  Sensors
              出了一种基于数字孪生单周期稳态波形逼近的直
              流变换器全参数提取方法,利用粒子群寻优算法                              Journal, 2024, 24(12): 19845-19854.
              智能地提取出元件参数,该方法物理建模简单因                                   [7] Ji X, Liao Y, Tu J,et al. PSO-GPR
              而适用于各种不同的电能变换装备。再次,提出                              model for state estimation of lithium-ion
              了一种基于 BP 神经网络拟合清晰时域映射关系                            battery using ultrasonic guided waves with
              的 Buck 变换器全元件参数辨识方法,利用电气                           multi-feature fusion technique[J]. Journal of
              装备中元件参数与电压电流之间的数据映射关系                              Energy Storage, 2025, 112: 115580.
              模型,实时地提取出所有元件的参数。最后,提
                                                                 5.2 无损检测研究代表性论文
              出了一种基于电路模型和浅层神经网络的航空逆
                                                                      [1] Yuan X, Li W, Deng M. Detection
              变器故障诊断方法,实现对三相逆变器单管故障
                                                                 of defects in girth welded joints of tubular
              和双管故障的有效、快速、准确诊断。
                                                                 structure by circumferential feature-guided
              5  代表性论文                                           waves[J]. NDT & E International, 2025, 151:
                                                                 103283.
              5.1 先进传感技术研究代表性论文
                   [1] Yang Y, Shen Y. A liquid metal-based           [2] Yuan X, Li W, Deng M. Quantitative
              module emulating the intelligent preying           assessment of corrosion-induced wall
              logic of flytrap[J]. Nature Communications,        thinning in L-shaped bends using ultrasonic
              2024, 15(1): 3398.                                 feature guided waves[J]. Thin-Walled
                   [2] Li K, Zhang Q, Cui X, et al.              Structures, 2024, 196: 111493.
              Photothermal-driven soft actuator capable               [3] Yu Y, Yuan X, Li W, Deng M.
              of alternative control based on coupled-           Damage assessment in L-shaped bends by
              plasmonic effect[J]. Chemical Engineering          nonlinear feature guided waves[J]. NDT & E
              Journal, 2024, 498: 155057.                        International, 2024, 145: 103108.
                   [3] Fan  L,  Liu  Y,  Yang  X,  et  al  .  A       [4] Yuan X, Li W, Deng M. Propagation
              novel capacitive sensor featuring surface          characteristics of circumferential feature
              microstructure and hydrogels for measuring         guided waves propagation in a revolved
              full pressure with high-sensitivity[J]. Sensors    topological waveguide[J]. Wave Motion,
              and Actuators A: Physical,  2024,  370:            2024, 128: 103309.
              115228.                                                 [5] Ren Y, Zeng Z, Jiao S. Eddy current
                   [4] Hou J, Bai S, Zhang X, et al. An          testing of CFRP/aluminium honeycomb
              intelligent CFRP bolt with embedded                sandwich structure[J]. Nondestructive
              carbon nanotube eddy current sensors for           Testing and Evaluation, 2024, 39(8): 2593-
              damage self‐diagnosis of bolted composite          2605.
              joints[J]. Polymer Composites, 2025, 46(3):             [6]  Cui L, Zeng Z, Jiao S. Finite element
              2545-2559.                                         analysis of eddy current testing of aluminum
                   [5]  Liu Q, Sun M, Qin H, et al. Embedded     honeycomb sandwich structure with CFRP
              piezoresistive sensor network for multi-           panels based on the domain decomposition
              failure mode monitoring in CFRP bolted             method[J]. Journal of Nondestructive


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