Monotonicity Evaluation Method of Monitoring Feature Series Based on Ranking Mutual Information

As a prerequisite for effective prognostics, the goodness of the features affects the complexity of the prognostic methods. Comparing to features quality evaluation in diagnostics, features evaluation for prognostics is a new problem. Normally, the monotonic tendency of feature series can be used as the visual representation of equipment damage cumulation so that forecasting its future health states is easy to implement. Through introducing the concept of ranking mutual information in ordinal case, a monotonicity evaluation method of monitoring feature series is proposed. Finally, this method is verified by the simulating feature series and the results verify its effectivity. For the specific application in industry, the evaluation results can be used as the standard for selecting prognostic feature.     

正反钻机联合钻孔

桥粱钻孔桩以它配筋少,无需预制,变水下作业为水上作业,施工方法简单、速度快等优点被各地施工队所采用。作为成孔机具,其钻进形式基本为正循环钻机成孔和反循环钻机成孔,二机优点在干,正机钻孔成功率高,在钻进过程中自身能产生造浆能力,较适用于土质地基和粒径小于2厘米的砾石层,反机成孔速度快,泥浆比重小,单位承载力高,速度较正机快3