| 丁豪坚,傅耀宇,王可,郝士祥,陈俊豪.轮式装备性能鉴定试验故障等级评定方法研究[J].装备环境工程,2024,21(11):47-54. DING Haojian,FU Yaoyu,WANG Ke,HAO Shixiang,CHEN Junhao.Fault Level Evaluation Method for Performance Qualification Test of Wheeled Equipment[J].Equipment Environmental Engineering,2024,21(11):47-54. |
| 轮式装备性能鉴定试验故障等级评定方法研究 |
| Fault Level Evaluation Method for Performance Qualification Test of Wheeled Equipment |
| 投稿时间：2024-06-25 修订日期：2024-09-05 |
| DOI：10.7643/issn.1672-9242.2024.11.007 |
| 中文关键词: 轮式装备 性能鉴定 试验 G1法 云模型 故障等级中图分类号:TJ18 文献标志码:A 文章编号:1672-9242(2024)11-0047-08 |
| 英文关键词:wheeled equipment performance qualification test G1 method cloud model fault level |
| 基金项目: |
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| Author | Institution |
| DING Haojian | Unit 32184 of PLA, Beijing 100072, China |
| FU Yaoyu | Unit 32184 of PLA, Beijing 100072, China |
| WANG Ke | Unit 32184 of PLA, Beijing 100072, China |
| HAO Shixiang | Unit 32184 of PLA, Beijing 100072, China |
| CHEN Junhao | Joint Delivery System, Army Military Transportation University, Tianjin 300161, China |
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| 中文摘要: |
| 目的 针对轮式装备性能鉴定试验故障等级评定过程随机性强、结果模糊性和不确定性高的特点，提出一种基于云模型的轮式装备故障等级评定方法。方法 首先，依据实战化考核要求和性能鉴定试验特点要求，从“装备”“安全”和“作战”3个角度建立轮式装备故障等级评定指标体系，其次采用G1法确定指标权重，引入云模型融合定性定量指标，采用隶属度确定最终等级，最后使用建立的故障等级评定云模型对两型装备故障进行等级评定与分析。结果 云滴跨度能有效表征打分过程的随机性，云滴厚度能真实反映评定结果的模糊性和不确定性，且评定结果与实际一致。结论 该方法对于轮式装备性能鉴定试验故障等级评定是可行和适用的，具有一定的借鉴意义和推广价值。 |
| 英文摘要: |
| Aiming at the characteristics of high randomness, fuzziness and uncertainty in the process of fault level evaluation of wheeled equipment performance qualification tests, the work aims to propose a method for fault level evaluation of wheeled equipment based on a cloud model. First of all, according to the requirements of actual combat assessment and the characteristics of performance appraisal tests, a fault rating index system of wheeled equipment was established from three perspectives of “equipment”, “safety” and “operation”. Secondly, the G1 method was used to determine the index weight, a cloud model was introduced to integrate qualitative and quantitative indexes, and membership degree was used to determine the final grade. At last, a fault classification cloud model was used to evaluate and analyze the two types of equipment faults. The results showed that the cloud droplet span could effectively represent the randomness of the scoring process, and the cloud droplet thickness could truly reflect the fuzziness and uncertainty of the evaluation results, and the evaluation results were consistent with the reality. The method is feasible and applicable for the fault level evaluation of the performance qualification test of wheeled equipment, and has certain reference significance and popularization values. |
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