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基于改进DBSCAN-GMM的设备健康量化建模与应用
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作者 曾宪利 徐华志 李波波 《现代矿业》 CAS 2024年第11期203-207,共5页
设备的健康状态对于现代工业的生产安全和生产效率有着重要的影响,为了准确感知设备的健康状态,实现设备状态从定性分析到定量分析的过渡,提出了一种带噪声基于密度的聚类算法(DBSCAN),通过与高斯混合模型(GMM)进行结合,前者实现数据的... 设备的健康状态对于现代工业的生产安全和生产效率有着重要的影响,为了准确感知设备的健康状态,实现设备状态从定性分析到定量分析的过渡,提出了一种带噪声基于密度的聚类算法(DBSCAN),通过与高斯混合模型(GMM)进行结合,前者实现数据的分类,后者实现数据的建模,建立了基于改进DBSCAN-GMM的设备健康状态数据量化模型,并结合现场棒磨设备历史运行数据进行了实例分析,验证了该模型的有效性。 展开更多
关键词 设备健康状态 DBSCAN 高斯混合模型 数据感知模型
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A Secure-Efficient Data Collection Algorithm Based on Self-Adaptive Sensing Model in Mobile Internet of Vehicles 被引量:1
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作者 LIANG Wei RUAN Zhiqiang +1 位作者 TANG Mingdong LI Peng 《China Communications》 SCIE CSCD 2016年第2期121-129,共9页
Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are ... Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are not set as primary design objectives.This makes data collection ability of vehicular nodes in real application environment inferior.By considering the features of nodes in wireless IoV,such as large scales of deployment,volatility and low time delay,an efficient data collection algorithm is proposed for mobile vehicle network environment.An adaptive sensing model is designed to establish vehicular data collection protocol.The protocol adopts group management in model communication.The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes.It will dynamically choose a combination of network sensing chains on basis of remaining energy and location characteristics of surrounding nodes.In addition,secure data collection between sensing nodes is undertaken as well.The simulation and experiments show that the vehicular node can realize secure and real-time data collection.Moreover,the proposed algorithm is superior in vehicular network life cycle,power consumption and reliability of data collection by comparing to other algorithms. 展开更多
关键词 wireless vehicle network datacollection protocol network sensing chain self'-adaptive sensing sensing distance threshold.
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