基于键合图模型的机车制动系统故障检测与隔离

针对机车制动机列车管压力控制模块,采用键合图理论开展了动态建模分析,由建立的故障键合图模型推导出相应的解析冗余关系,提取出完整的故障特征矩阵.利用序贯概率比检验方法对采集的监测数据进行连续判读,实时跟踪识别工况下的系统异常状况,并将得到的残差状态向量同故障特征矩阵进行匹配,实现对故障部件的检测与隔离.仿真实例验证了建议方法的技术可行性.

Bond Graph Model Based Fault Detection and Isolation for Locomotive Brake

In this study, train locomotive brake Pneumatic Equalizer Control (PEC) unit, conducted using the bond graph dynamic modeling, is analyzed. The created fault bond graph is utilized to deduce Analytical Redundancy Relations (ARRs). Then a whole Fault Signature Matrix (FSM) can be extracted. Next, online monitoring using Sequential Probability Ratio Test (SPRT) is exerted to check anomaly occurrence of the unit components. When any alert is triggered, the generated synthesized non-null coherence vector is matched with the FSM to detect and isolate the possible faulty components. A simulation experiment was given to illustrate the feasibility of the proposed methodology.