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机译:结构健康监测的自适应学习损伤估计方法
Global Research and Development, General Motors Corporation, 30500 Mound Road, mail code: 480-106-RA3, Warren, Michigan 48090, USA;
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA;
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA;
School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA;
Structural health monitoring; damage estimation; time-frequency analysis; matching pursuit decomposition; probability density function; Kullback-Leibler divergence; active data selection; adaptive learning; Dirichlet process mixture; Markov chain Monte Carlo methods; Bayesian filtering;
机译:随机载荷下的损伤检测和疲劳寿命估计:频域中的新结构健康监测方法
机译:在结构健康监测中通过新型损伤指数进行无监督学习的方法,以进行损伤定位和量化
机译:一种补偿非破坏性影响的基于压电传感器基于结构健康监测的螺距捕获方案的损伤指标的方法
机译:结构健康监测中损伤分类的自适应学习
机译:结构健康监测使用无监督的学习方法,具有地震后损伤检测
机译:关于金属和复合结构损伤评估的多传感器方法的结构健康监测方法的回顾
机译:损伤特征决策具有自适应促进的决策,用于提高结构健康监测框架的检测性能:操作风力涡轮机的验证