| 基于非线性主成分分析的车身制造偏差源诊断 |
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| 引用本文： | 陈鑫,王华,金隼,陈关龙. 基于非线性主成分分析的车身制造偏差源诊断[J]. 机械, 2004, 31(2): 31-33,40 |
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| 作者姓名： | 陈鑫 王华 金隼 陈关龙 |
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| 作者单位： | 上海交通大学,机械与动力工程学院,上海,200030;上海交通大学,机械与动力工程学院,上海,200030;上海交通大学,机械与动力工程学院,上海,200030;上海交通大学,机械与动力工程学院,上海,200030 |
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| 摘 要： | 对主成分分析在轿车车身制造偏差源诊断方面的不足进行了分析，进而在其基础上提出采用非线性主成分分析，从而更有效、更准确地来对轿车车身制造偏差源进行诊断，并给出了计算实例。实例证明该方法优于主成分分析，并在工程上有较大的可用性。
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| 关 键 词： | 车身制造质量 主成分分析 非线性主成分分析 故障诊断 |
| 文章编号： | 1006-0316(2004)02-0031-03 |
Fault diagnosis in auto-body assembly process based on non-linear principal component analysis |
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| CHEN Xin,WANG Hua,JIN Sun,CHEN Guan-long. Fault diagnosis in auto-body assembly process based on non-linear principal component analysis[J]. Machinery, 2004, 31(2): 31-33,40 |
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| Authors: | CHEN Xin WANG Hua JIN Sun CHEN Guan-long |
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| Abstract: | This paper makes analysis of the shortages of Principal Component Analysis(PCA) in fault diagnosis of auto-body assembly process. Basing on this, another analysis method named as Non-Linear Principal Component Analysis(NLPCA) was proposed. The given actual case proves that Non-Linear PCA is better than PCA in searching root cause which brought in auto-body assembly process. And it has high usability in auto industry. |
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| Keywords: | auto body manufacturing quality principal component analysis fault diagnosis |
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