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机译:新数据类别下基于半监督学习的高斯混合模型用于概率故障诊断
Department of Electrical and Computer Engineering, National University of Singapore, Singapore;
Manufacturing Execution and Control Group, A*STAR Singapore Institute of Manufacturing Technology, Singapore;
Department of Electrical and Computer Engineering, National University of Singapore, Singapore;
Semisupervised learning; Fault diagnosis; Training; Probabilistic logic; Unsupervised learning; Training data; Gaussian mixture model;
机译:基于概率深度学习的集成能源系统数据驱动可靠性评估方法和高斯混合模型隐藏马尔可夫模型
机译:基于鲁棒高斯混合模型和传递熵的工业多模式过程中与质量相关的故障的根本原因诊断
机译:混合概率PCA模型的非线性传感器故障诊断
机译:高斯混合模型用于新故障类别诊断
机译:具有未知或标签稀缺类别的半监督主动学习和组异常检测
机译:基于多元高斯混合模型的无线传感器网络高维概率指纹
机译:使用高斯混合模型(Gmms)进行轴承故障诊断