模糊数据融合技术在柴油机状态监测中的应用  

Application of Fuzzy Data Amalgamation Technology in Diesel Engine State Monitor

作　　者：李连杰[1] 朱从乔[1] 

机构地区：[1]海军工程大学船舶与动力工程学院,湖北武汉430033

出　　处：《兵工自动化》2006年第11期92-92,共1页Ordnance Industry Automation

摘　　要：基于模糊集理论的多传感器数据融合,应用模糊集理论处理数据。并将多个传感器在时间和空间的互补或冗余,按给定算法或准则以综合,获得被测对象的一致性描述。通过多传感器数据融合,以扩大时空覆盖范围、增加置信度、减少模糊性、改善探测,减少虚警率和漏报警率,得出准确的柴油机状态估计,保障柴油机正常运行。Based on fuzzy set theory, the multi-sensor data amalgamation adopted fuzzy set theory to deal with data. The eomplementat^on or redundancy of multi-sensor in time and space were integrated according to the algorithm or rules; and the consistency description of tested objects was acquired. Through multi-sensor data amalgamation, expanding space-time cover area, increasing confidence, decreasing fuzziness, improving detection, decreasing false alarm rate and missing alarm rate, the correct diesel engine state evaluation was acquired and the operation of diesel engine was ensured.

关 键 词：模糊集理论 柴油机 数据融合技术 状态监测 多传感器数据融合 应用 处理数据 状态估计 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]