机译:在线趋势提取和故障诊断的框架
Laboratory for Intelligent Process Systems, School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA Department of Bioengineering, University of California, San Diego, MC 0412, 9500 Gilman Drive, La Jolla, CA 92093, USA;
rnMetaweb Technologies, Inc., San Francisco, CA 94105, USA;
rnDepartment of Chemical Engineering, Texas Tech University, 6th and Canton, Mail Stop 3121, Lubbock, TX 79409-3121, USA;
rnLaboratory for Intelligent Process Systems, School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA;
qualitative trend analysis; on-line; fault detection; fault diagnosis; tennessee eastman process;
机译:特征趋势提取和自适应密度峰值搜索用于机器智能故障诊断
机译:基于符号图和定性趋势分析的框架,用于故障诊断
机译:模块化多级转换器的在线故障诊断和容错操作 - 全面审查
机译:基于多维特征提取的滚动轴承在线故障诊断研究
机译:基于粒子过滤的在线故障诊断和故障预测框架。
机译:基于特征融合的轴承故障特征提取与故障诊断方法
机译:黑箱故障诊断的在线/离线组合框架
机译:无限制故障的在线诊断