摘要
根据设备性能退化评估与预测技术的要求和面向服务架构(SOA)的特点,以提高系统应用平台的可扩展性和松耦合性为目的,提出了基于面向服务技术的设备性能退化与预测系统的应用平台架构,并建立了该系统的分层结构模型。以隐马尔可夫算法为例,详细阐述了SOA中算法服务的建立与调用过程,并通过实验验证了该架构的有效性。
According to the requirements of evaluation and forecasting technique of the equipment performance degradation and features of the Service-Oriented architecture（SOA）, and with the purpose of improving the expandability and loose-coupling of the system application platform, an application platform architecture of prediction system for the equipment performance degradation based on SOA is proposed. Also a layered structure model of the system is established. Taking the Hidden Markov Model as an example, the processes of establishment of algorithm service and calling are introduced detailedly. The experiments show that the architecture is effective.
出处
《矿山机械》
北大核心
2009年第4期31-35,共5页
Mining & Processing Equipment
基金
国家高技术研究发展计划863计划(2006AA04Z175)
国家自然科学基金资助(50675140)
