基于深度迁移学习优化的民机故障诊断模型有效解决变工况民机故障诊断任务,进而保障民机部件在复杂工况下的故障诊断任务需求。然而,民机的高安全性需求造成设备故障样本稀缺,进而导致变工况故障诊断任务的高置信度故障样本严重不足且...基于深度迁移学习优化的民机故障诊断模型有效解决变工况民机故障诊断任务,进而保障民机部件在复杂工况下的故障诊断任务需求。然而,民机的高安全性需求造成设备故障样本稀缺,进而导致变工况故障诊断任务的高置信度故障样本严重不足且影响故障模型推断。针对上述研究短板,提出了基于条件扩散的故障诊断算法(condition diffusion based fault diagnosis,CDFD)。首先,结合去噪扩散生成模型对有限的高置信度故障样本进行条件生成增广,解决因样本缺失导致的模型过拟合。同时,针对现有条件扩散技术仅关注样本的条件分布推断的短板,联合考虑故障样本的生成与决策进行耦合优化,有效保障故障样本的生成质量,进而显著提升故障诊断模型的决策泛化能力。试验环节分别在仿真与真实故障数据上进行试验验证,论证了所提出算法在解决真实民机故障任务的高效性。展开更多
In the process of computer installation of the system, professional and technical support must be strengthened. For civil construction professionals, this is especially obvious in prefabricated computer installation p...In the process of computer installation of the system, professional and technical support must be strengthened. For civil construction professionals, this is especially obvious in prefabricated computer installation project, and the quality of related civil engineering must be guaranteed. Therefore, this paper will take the assembled electrical equipment project as the background, strengthen the civil engineering construction, and pay attention to find the appropriate scheme that can be adopted by both, so as to ensure the efficiency of the project to be more progressive and perfect.展开更多
With the rapid development of the city, China's construction industry has also ushered in a golden period of development. Civil engineering plays a positive role in the process of urban development. In the fierce ...With the rapid development of the city, China's construction industry has also ushered in a golden period of development. Civil engineering plays a positive role in the process of urban development. In the fierce market competition, if construction enterprises want to take the lead, they must take positive measures to manage the project, focus on the construction schedule management, ensure that the quality meets the design standards, scientifically control the construction period, and minimize the project cost investment, so as to make them far ahead in the same industry.展开更多
文摘基于深度迁移学习优化的民机故障诊断模型有效解决变工况民机故障诊断任务,进而保障民机部件在复杂工况下的故障诊断任务需求。然而,民机的高安全性需求造成设备故障样本稀缺,进而导致变工况故障诊断任务的高置信度故障样本严重不足且影响故障模型推断。针对上述研究短板,提出了基于条件扩散的故障诊断算法(condition diffusion based fault diagnosis,CDFD)。首先,结合去噪扩散生成模型对有限的高置信度故障样本进行条件生成增广,解决因样本缺失导致的模型过拟合。同时,针对现有条件扩散技术仅关注样本的条件分布推断的短板,联合考虑故障样本的生成与决策进行耦合优化,有效保障故障样本的生成质量,进而显著提升故障诊断模型的决策泛化能力。试验环节分别在仿真与真实故障数据上进行试验验证,论证了所提出算法在解决真实民机故障任务的高效性。
文摘In the process of computer installation of the system, professional and technical support must be strengthened. For civil construction professionals, this is especially obvious in prefabricated computer installation project, and the quality of related civil engineering must be guaranteed. Therefore, this paper will take the assembled electrical equipment project as the background, strengthen the civil engineering construction, and pay attention to find the appropriate scheme that can be adopted by both, so as to ensure the efficiency of the project to be more progressive and perfect.
文摘With the rapid development of the city, China's construction industry has also ushered in a golden period of development. Civil engineering plays a positive role in the process of urban development. In the fierce market competition, if construction enterprises want to take the lead, they must take positive measures to manage the project, focus on the construction schedule management, ensure that the quality meets the design standards, scientifically control the construction period, and minimize the project cost investment, so as to make them far ahead in the same industry.
