Design improvement supporting method based on product performance analysis

Ma Binbin; Ma Hongzhan; Li Yupeng; Chu Xuening; Liu Qingxiu

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Design improvement supporting method based on product performance analysis

机译：基于产品性能分析的设计改进支持方法

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摘要

As the manufacturing industry moves towards rapid response design, it is essential for manufacturers to upgrade their existing products. Traditionally, design improvement is performed with product failure data. However, there are limitations when dealing with little failure data. Many kinds of research considering product time-varying performance data are emerging for design improvement. To expand the application of this data in the design improvement, there are two critical problems to solve. One is to identify the abnormal time instances (i.e. outliers) of field data. The other problem is to analyse function modules which are related to these abnormal time instances. To solve the above questions, a novel method to transform performance data into useful design improvement information is proposed. Based on performance data, an anomaly detection model is developed according to the outlier analysis theory. Next, outlier instances detected by the model are used to analyse the degradation degree of each performance feature. Finally, the redesign module can be identified using the correlation matrix between performance features and function modules. The effectiveness of this proposed method is demonstrated through a case study with design improvement of a wind turbine.

机译：由于制造业走向快速响应设计，因此制造商必须升级其现有产品。传统上，使用产品故障数据进行设计改进。但是，在处理几乎没有故障数据时存在限制。考虑产品时变性能数据的许多研究正在出现设计改进。为了在设计改进中扩展此数据的应用，有两个问题可以解决。一个是识别现场数据的异常时间实例（即异常值）。另一个问题是分析与这些异常时间实例相关的函数模块。为了解决上述问题，提出了一种将性能数据转换为有用的设计改进信息的新方法。基于性能数据，根据异常分析理论开发了异常检测模型。接下来，模型检测到的异常情况实例用于分析每个性能特征的劣化程度。最后，可以使用性能特征和功能模块之间的相关矩阵来识别重新设计模块。通过具有风力涡轮机的设计改进的案例研究证明了这种方法的有效性。

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来源
《International Journal of Computer Integrated Manufacturing》 |2019年第12期|共14页
作者
Ma Binbin; Ma Hongzhan; Li Yupeng; Chu Xuening; Liu Qingxiu;
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作者单位

Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;

Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;

China Univ Min &

Technol Dept Ind Engn Xuzhou Jiangsu Peoples R China;

Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;

Shanghai Jiao Tong Univ Sch Mech Engn Shanghai Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类计算机集成制造;
关键词
Design improvement; performance analysis; performance feature degradation; clustering; neural networks;

机译：设计改进;性能分析;性能特征劣化;聚类;神经网络;

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Design improvement supporting method based on product performance analysis

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