Subjects: Geosciences >> Geography submitted time 2021-08-12 Cooperative journals: 《干旱区研究》
Abstract:以人工梭梭林大沙鼠正在使用(有效洞)和已废弃(废弃洞)的洞穴为研究对象,分层测定0~30 cm土壤水分、有机质、全氮等,探讨大沙鼠挖掘活动对土壤理化性质的影响。结果表明:(1)含水量和容重在0~30 cm土层土壤变化规律相同,表现为废弃洞废弃洞>对照,0~10 cm含量最高。有效磷在有效洞和废弃洞各土层的变化规律相同,20~30 cm含量最高。有效钾在各土层含量有效洞是废弃洞的1.05倍、1.01倍、1.01倍。有机质在有效洞与废弃洞的总量增加了63.2%、48.8%。综上所述,鼠类活动有效洞的土壤养分普遍高于废弃洞,各土层呈不同程度的增加,说明大沙鼠扰动能改变土壤容重与水分格局,促进养分积累,增加土壤肥力。通过探讨大沙鼠扰动对土壤理化性质的影响,将进一步明确大沙鼠在梭梭林中的生态功能和作用。
Subjects: Mechanical Engineering >> Other Disciplines of Mechanical Engineering Subjects: Computer Science >> Computer Application Technology submitted time 2017-12-26
Abstract: There are some shortcomings in the existing methods of fault diagnosis of planetary gearbox: First, the traditional methods are complex and can not effectively diagnose the planetary gearbox faults. Second, the methods based on convolution neural network mostly diagnose gearbox faults and rarely are used to diagnose planetary gearbox. In order to effectively diagnose complex faults and variable working conditions, fault tree structure, working condition parallel structure and multi-SoftMax convolution neural network are proposed for the first time. Fault tree structure can handle a variety of complex faults and see the diagnosis effect of each node. The parallel structure can handle variable conditions, and predict speed and load. A series of experiments are carried out using the vibration data of ours laboratory planetary gearbox, which indicated that the method can accurately diagnose the complex faults and variable working conditions of the planetary gearbox, and the accuracy is 97%. It is verified that the multi-SoftMax convolution neural network has strong generalization ability, and the advantages of the fault tree structure.
Peer Review Status:Awaiting Review