| Application of non-equal interval GM （1,1） model in oil monitoring of internal combustion engine |
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| 引用本文： | 陈士玮 李柱国 周守西. Application of non-equal interval GM （1,1） model in oil monitoring of internal combustion engine[J]. 中南工业大学学报(英文版), 2005, 12(6): 705-708. DOI: 10.1007/s11771-005-0073-2 |
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| 作者姓名： | 陈士玮 李柱国 周守西 |
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| 作者单位： | School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030, China |
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| 摘 要： | The basic difference non-equal interval model GM（1,1） in grey theory was used to fit and forecast data series with non-equal lengths and different inertias, acquired from oil monitoring of internal combustion engines. The fitted and forecasted results show that the length or inertia of a sequence affects its precision very much, i. e. the bigger the inertia of a sequence is, or the shorter the length of a series is, the less the errors of fitted and forecasted results are. Based on the research results, it is suggested that short series should be applied to be fitted and forecasted; for longer series, the newer datum should be applied instead of the older datum to be analyzed by nonequal interval GM（1,1） to improve the forecasted and fitted precision, and that data sequence should be verified to satisfy the conditions of grey forecasting.
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| 关 键 词： | 内燃机 油液监测 GM（1 1）模型 摩擦 磨损 |
| 文章编号： | 1005-9784（2005）06-0705-04 |
| 收稿时间： | 2005-02-20 |
| 修稿时间： | 2005-04-12 |
Application of non-equal interval GM(1,1) model in oil monitoring of internal combustion engine |
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| Chen Shi-wei , Li Zhu-guo and Zhou Shou-xi. Application of non-equal interval GM(1,1) model in oil monitoring of internal combustion engine[J]. Journal of Central South University of Technology, 2005, 12(6): 705-708. DOI: 10.1007/s11771-005-0073-2 |
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| Authors: | Chen Shi-wei Li Zhu-guo Zhou Shou-xi |
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| Affiliation: | (1) School of Mechanical Engineering, Shanghai Jiaotong University, 200030 Shanghai, China |
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| Abstract: | The basic difference non-equal interval model GM(1,1) in grey theory was used to fit and forecast data series with non-equal lengths and different inertias, acquired from oil monitoring of internal combustion engines. The fitted and forecasted results show that the length or inertia of a sequence affects its precision very much, i.e. the bigger the inertia of a sequence is, or the shorter the length of a series is, the less the errors of fitted and forecasted results are. Based on the research results, it is suggested that short series should be applied to be fitted and forecasted; for longer series, the newer datum should be applied instead of the older datum to be analyzed by non-equal interval GM(1,1) to improve the forecasted and fitted precision, and that data sequence should be verified to satisfy the conditions of grey forecasting. |
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| Keywords: | GM(1,1) model oil monitoring spectrometric analysis internal combustion engine |
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