| 郁鹏，吉卫喜，钱陈豪，张国祥.基于案例推理的压力容器故障维修方法[J].轻工机械,2017,35(2):91-95 |
| 基于案例推理的压力容器故障维修方法 |
| Fault Maintenance Method of Pressure Vessels Based on Case Reasoning |
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| DOI：10.3969/j.issn.1005-2895.2017.02.020 |
| 中文关键词: 压力容器故障，案例推理，最近相邻法，灰色关联度 |
| 英文关键词:pressure vessels fault case-based reasoning( CBR) nearest-neighbor method ray case similarity algorithm |
| 基金项目:江苏省产学研联合创新基金（BY2014023-30）；江南大学自主科研计划一青年基金理工类(JUSRP116027)。 |
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| 中文摘要: |
| 针对目前压力容器故障维修依赖经验知识的程度高，智能知识库利用率低的问题，提出基于案例推理的压力容
器故障维修方法。通过定义对应故障特征关键词字典，优化案例库案例存储与索引机制，对故障案例信息进行结构化和
知识化；并采用结合最近相邻法和灰色关联度算法的案例相似度匹配方法，提高案例匹配精度。经应用实例验证，从案
例库中匹配相似案例速度快、可靠度高，可供原故障案例参考。因此，该方法在实际使用中有效降低了经验知识的依赖
程度，较好地利用智能知识库，为压力容器全生命周期的维护、修理和操作( MRO)提供便利。 |
| 英文摘要: |
| By the problems of pressure vessels fault with high dependence on empirical knowledge and low utilization
ratio of intelligent knowledge base, the method of pressure vessels fault was put forward based on case-based reasoning.
According to the definition of fault characteristics keywords dictionary and the optimization of case storage and indexing
mechanism, the case information was structured and better educated. And using a combination of nearest-neighbor
method and gray case similarity algorithm to improve the accuracy of case matching, it was better for giving the similar
pressure vessel fault a reference. Verified by the application examples, it was faster and more reliable to match the
similar cases from the case base, and it could be used for reference to the original fault case. The method effectively
reduces the dependence on empirical knowledge, and better uses the intelligent knowledge base, which provides
convenience for the whole life cycle of the pressure vessel MRO. |
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