| 基于改进直接灰色模型的泵车摆缸泄漏预测 |
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| 作者姓名： | 徐增丙 李友荣 王志刚 刘昌明 周承凯 |
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| 作者单位： | 武汉科技大学冶金装备及其控制教育部重点实验室,湖北 武汉,430081,武汉科技大学冶金装备及其控制教育部重点实验室,湖北 武汉,430081,武汉科技大学冶金装备及其控制教育部重点实验室,湖北 武汉,430081,武汉科技大学冶金装备及其控制教育部重点实验室,湖北 武汉,430081,武汉科技大学冶金装备及其控制教育部重点实验室,湖北 武汉,430081 |
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| 基金项目： | 国家自然科学基金资助项目(51405353). |
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| 摘 要： | 提出一种基于参数和时间响应序列的改进直接灰色模型IDGM(1,1),对泵车摆缸泄漏的趋势进行预测分析,并与传统灰色模型GM(1,1)和直接灰色模型DGM(1,1)的预测结果进行比较。结果表明,该方法可以准确地预测摆缸泄漏故障的劣化趋势,其预测精度明显优于传统灰色模型GM(1,1)和直接灰色模型DGM(1,1)的预测精度,可为摆缸泄漏故障的主动维护提供重要理论依据。
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| 关 键 词： | 泵车 摆缸 泄漏 故障预测 灰色模型 |
| 收稿时间： | 2015/7/10 0:00:00 |
Leakage prediction of swing cylinder in concrete pump truck based on the improved direct grey model |
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| Authors: | Xu Zengbing Li Yourong Wang Zhigang Liu Changming and Zhou Chengkai |
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| Institution: | Key Laboratory of Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China,Key Laboratory of Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China,Key Laboratory of Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China,Key Laboratory of Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China and Key Laboratory of Metallurgical Equipment and Control of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | An improved direct grey model (IDGM(1,1)) based on the modification of parameter and time response series was proposed and applied to the leakage prediction of the swing cylinder in the concrete pump truck, and the prediction results by IDGM(1,1) were compared with those by the traditional grey model GM(1,1) and direct grey model DGM(1,1). The results show that the proposed IDGM(1,1) can predict accurately the deterioration trend of leakage fault of the swing cylinder, and its prediction accuracy is superior to that of the GM(1,1) and DGM(1,1), which provides an important theoretical basis for the active leakage fault maintenance of the swing cylinder. |
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| Keywords: | pump truck swing cylinder leakage fault prediction grey model |
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