Research on Quality Evaluation and Fault Forecast System for Complicated Equipments

Quality evaluation and fault forecast are the key technologies to improve the mission reliability of complicated equipments. Virtual prototyping is first adopted into quality evaluation and fault simulation fields. A type of self-propelled gun is taken as example and its virtual prototyping is established in ADAMS environment. A simulation example is illustrated to show the influencing rules of different fault factors on system performance. To describe the complex dynamic process, fuzzy inference is adopted to evaluate the whole performances of equipments and forecast the possible faults. Finally, the flow chart of quality evaluation and fault forecast is given. Based on the evaluation results, commander can determine whether the equipments are capable for the training or battle missions or not.