An Integrated Approach for Design Improvement Based on Analysis of Time-Dependent Product Usage Data
An Integrated Approach for Design Improvement Based on Analysis of Time-Dependent Product Usage Data
复制标题
基于时间相关产品使用数据分析的设计改进综合方法
DOI：
10.1115/1.4037246
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发表时间：
2017-11
影响因子：
3.3
通讯作者：
Xue Deyi
中科院分区：
文献类型：
--
作者：
Ma Hongzhan;Chu Xuening;Lyu Guolin;Xue Deyi
随着信息收集技术的发展，可以对产品性能和环境/运行条件进行监测，并在产品使用阶段连续收集产品使用数据，包括随时间变化的产品性能特征数据和现场数据（即环境/运行数据）。这些技术为改进产品设计提供了考虑到产品功能性能下降的机会。挑战在于如何评估产品功能性能退化的数据，以识别相关的现场因素和改变设计参数。本研究开发了一种集成的设计改进方法，将与时间相关的使用数据转换为设计信息。该方法采用了层次函数模型、性能特征降维法、高斯混合模型（GMM）和数据聚类方法等多种数据建模和分析技术。这些方法用于从收集的性能特征中提取主要特征，评估产品功能性能退化，并将现场数据分组为有意义的数据簇。基于现场数据集群，获取导致产品功能严重、快速退化的异常现场数据。根据各设计参数与异常现场数据的关系，定义了与严重退化功能相关的各设计参数的再设计必要性指数（RNI）。构建关联关系矩阵（ARM），计算各设计参数的RNI，以确定产品改进中需要修改的优先级高的设计参数。以某大型履带式起重机为例，验证了该方法的有效性。
With the recent advances in information gathering techniques, product performances and environment/operation conditions can be monitored, and product usage data, including time-dependent product performance feature data and field data (i.e., environmental/operational data), can be continuously collected during the product usage stage. These technologies provide opportunities to improve product design considering product functional performance degradation. The challenge lies in how to assess data of product functional performance degradation for identifying relevant field factors and changing design parameters. An integrated approach for design improvement is developed in this research to transform time-dependent usage data to design information. Many data modeling and analysis techniques such as hierarchal function model, performance feature dimension reduction method, Gaussian mixed model (GMM), and data clustering method are employed in this approach. These methods are used to extract principal features from collected performance features, assess product functional performance degradation, and group field data into meaningful data clusters. The abnormal field data causing severe and rapid product function degradation are obtained based on the field data clusters. A redesign necessity index (RNI) is defined for each design parameter related to severely degraded functions based on the relationships between this design parameter and abnormal field data. An associate relationship matrix (ARM) is constructed to calculate the RNI of each design parameter for identifying the to-be-modified design parameters with high priorities for product improvement. The effectiveness of this new approach is demonstrated through a case study for the redesign of a large tonnage crawler crane.
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DOI：
10.1109/rams.1997.571684
发表时间：
1997-01
期刊：
Annual Reliability and Maintainability Symposium
影响因子：
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作者：
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影响因子：
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发表时间：
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影响因子：
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影响因子：
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