Condition Analysis for DEH Regulating System Based on Characteristic Extraction and Information Fusion

Aiming at the problem that the system of DEH regulation system is complex and difficult to analyze its condition, a method based on characteristic extraction and information fusion is proposed. By making RCM analysis, the indexes for quantitative risk evaluation of fault modes are determined, and the fuzzy rule base for risk evaluation is built. Using fuzzy inference, the system fault modes are ranked according to their risk level. Then, the condition characteristic parameters are extracted according to the pivot fault modes. Using the extracted characteristic parameters, an information fusion method based on evidence theory is put forward to evaluate the system´s condition. It is shown by the instance that this method is feasible and effective and the condition analysis results can be used as a support for next maintenance decisions.