Fault diagnosis technology plays an important role in the industries due to the emergency fault of a machine could bring the heavy lost for the people and the company. A fault diagnosis model based on multi-manifold l...Fault diagnosis technology plays an important role in the industries due to the emergency fault of a machine could bring the heavy lost for the people and the company. A fault diagnosis model based on multi-manifold learning and particle swarm optimization support vector machine(PSO-SVM) is studied. This fault diagnosis model is used for a rolling bearing experimental of three kinds faults. The results are verified that this model based on multi-manifold learning and PSO-SVM is good at the fault sensitive features acquisition with effective accuracy.展开更多
Nonlinear consensus protocols for dynamic directed networks of multi-agent systems with fixed and switching topologies are investigated separately in this paper. Based on the centre manifold reduction technique, nonli...Nonlinear consensus protocols for dynamic directed networks of multi-agent systems with fixed and switching topologies are investigated separately in this paper. Based on the centre manifold reduction technique, nonlinear consensus protocols are presented. We prove that a group of agents can reach a β-consensus, the value of which is the group decision value varying from the minimum and the maximum values of the initial states of the agents. Moreover, we derive the conditions to guarantee that all the agents reach a β-consensus on a desired group decision value. Finally, a simulation study concerning the vertical alignment manoeuvere of a team of unmanned air vehicles is performed. Simulation results show that the nonlinear consensus protocols proposed are more effective than the linear protocols for the formation control of the agents and they are an improvement over existing protocols.展开更多
为研究进排气门正时角度和进气歧管长度对于柴油机综合性能的影响,利用发动机仿真软件GT-Power对某款国产柴油发电机的柴油机部分进行建模,并基于台架实验验证其模型准确性。在额定转速为1500 r/min、负载为90%的工况下,应用实验设计(de...为研究进排气门正时角度和进气歧管长度对于柴油机综合性能的影响,利用发动机仿真软件GT-Power对某款国产柴油发电机的柴油机部分进行建模,并基于台架实验验证其模型准确性。在额定转速为1500 r/min、负载为90%的工况下,应用实验设计(design of experiments,DOE)工具,以发动机进排气门正时角度和进气歧管长度作为自变量,柴油机功率、比油耗和碳烟(soot)排放率为因变量,进行了最大功率、最小比油耗和最低碳烟排放量的多目标优化。结果表明:适当缩短进气歧管长度可以提高发动机进气压力和进气效率,提高发动机动力性和燃油经济性,增大气门重叠角可以有效降低气缸的泵气损失,提升柴油机做功效率,同时降低气缸内温度,从而降低碳烟的排放率。最终,各个目标值分别实现了1.3%、1.0%和2.6%的优化。展开更多
多标签学习已成功应用于文本分类、图像识别等各个领域。流行的技术包括提取标签特定特征、利用标签相关性等。提出带有标签相关性的预测调整算法PALC(Prediction adjusting with label correlation)将标签相关性融入串行并行神经网络...多标签学习已成功应用于文本分类、图像识别等各个领域。流行的技术包括提取标签特定特征、利用标签相关性等。提出带有标签相关性的预测调整算法PALC(Prediction adjusting with label correlation)将标签相关性融入串行并行神经网络。一方面,采用新颖的、更有效的串行并行神经网络架构来替代常见的显式特征提取或压缩感知方法;另一方面,考虑用固有的标签矩阵内的相关性来计算相关性矩阵,并以流形正则的方式优化分类器。对10个基准数据集与7种流行算法进行比较,结果表明PALC在3大排名指标下均有优势。展开更多
基金Beijing Natural Science Foundation(KZ201211232039)National Natural Science Foundation of China(51275052)+1 种基金Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipalipality(PHR201106132)PXM2014_014224_000080
文摘Fault diagnosis technology plays an important role in the industries due to the emergency fault of a machine could bring the heavy lost for the people and the company. A fault diagnosis model based on multi-manifold learning and particle swarm optimization support vector machine(PSO-SVM) is studied. This fault diagnosis model is used for a rolling bearing experimental of three kinds faults. The results are verified that this model based on multi-manifold learning and PSO-SVM is good at the fault sensitive features acquisition with effective accuracy.
基金supported by the National Natural Science Foundation of China (Grant No 60525303)the Natural Science Foundation of Hebei Province,China (Grant No 2006000270)
文摘Nonlinear consensus protocols for dynamic directed networks of multi-agent systems with fixed and switching topologies are investigated separately in this paper. Based on the centre manifold reduction technique, nonlinear consensus protocols are presented. We prove that a group of agents can reach a β-consensus, the value of which is the group decision value varying from the minimum and the maximum values of the initial states of the agents. Moreover, we derive the conditions to guarantee that all the agents reach a β-consensus on a desired group decision value. Finally, a simulation study concerning the vertical alignment manoeuvere of a team of unmanned air vehicles is performed. Simulation results show that the nonlinear consensus protocols proposed are more effective than the linear protocols for the formation control of the agents and they are an improvement over existing protocols.
文摘为研究进排气门正时角度和进气歧管长度对于柴油机综合性能的影响,利用发动机仿真软件GT-Power对某款国产柴油发电机的柴油机部分进行建模,并基于台架实验验证其模型准确性。在额定转速为1500 r/min、负载为90%的工况下,应用实验设计(design of experiments,DOE)工具,以发动机进排气门正时角度和进气歧管长度作为自变量,柴油机功率、比油耗和碳烟(soot)排放率为因变量,进行了最大功率、最小比油耗和最低碳烟排放量的多目标优化。结果表明:适当缩短进气歧管长度可以提高发动机进气压力和进气效率,提高发动机动力性和燃油经济性,增大气门重叠角可以有效降低气缸的泵气损失,提升柴油机做功效率,同时降低气缸内温度,从而降低碳烟的排放率。最终,各个目标值分别实现了1.3%、1.0%和2.6%的优化。
文摘多标签学习已成功应用于文本分类、图像识别等各个领域。流行的技术包括提取标签特定特征、利用标签相关性等。提出带有标签相关性的预测调整算法PALC(Prediction adjusting with label correlation)将标签相关性融入串行并行神经网络。一方面,采用新颖的、更有效的串行并行神经网络架构来替代常见的显式特征提取或压缩感知方法;另一方面,考虑用固有的标签矩阵内的相关性来计算相关性矩阵,并以流形正则的方式优化分类器。对10个基准数据集与7种流行算法进行比较,结果表明PALC在3大排名指标下均有优势。
