基于灰色关联分析的柴油机状况评估

柴油机是一个复杂的技术系统，单靠一个或几个参数对其进行评估不可能获得满意的结果。只有利用多参数融合的方法才能改进和提高评估的有效性。而灰色关联分析是将多个特征参数综合考虑的有效途径，所以提出利用灰色关联分析方法进行柴油机状况评估。在理论分析和大量对比试验的基础上确定了8个重要的检测参数，并根据统计计算，确定出各种状态的基准参数。在此基础上建立了利用灰色关联分析进行柴油机状况评估的模型。利用此模型对待检的柴油机进行验证，得到了和实际相符合的结果。试验结果表明，该方法计算简单，具有相当高的准确度，是一种有效的方法。

Condition Evaluation for Diesel Engine Based on Grey Relation Analysis

As a complex system, diesel engine is difficult to be evaluated satisfactorily by only one or a few characteristic parameters. A method of multi-parameter fusion can be used to improve the evaluation validity. The grey relation analysis is a valid approach fusing multiple parameters. The condition evaluation for diesel engine was implemented by the grey relation analysis is this paper. Based on the theoretical analysis and a lot of contradistinctive experiments, eight important parameters and fiducial parameters for each condition were determined. On the above basis, a model of condition evaluation for diesel engines was established. It was validated in other diesel engine tested. The results show that the evaluation method proposed in this paper is simple in calculation, high veracious and effective.