基于SPC与EPC集成的制造过程质量监控与调整

中国机械工程 ›› 2011, Vol. 22 ›› Issue (18): 2203-2208.

基于SPC与EPC集成的制造过程质量监控与调整

王佩;张定华;陈冰;王明微;李山

西北工业大学现代设计与集成制造技术教育部重点实验室,西安,710072

出版日期:2011-09-25 发布日期:2011-09-27
基金资助:
国家自然科学基金资助重点项目(70931004)
Key Program of National Natural Science Foundation of China（No. 70931004）

Quality Monitoring and Adjustment Method in Manufacturing Processes Based on Integration of SPC and EPC

Wang Pei;Zhang Dinghua;Chen Bing;Wang Mingwei;Li Shan

Key Laboratory of Contemporary Design and Integrated Manufacturing Technology,Ministry of Education,Northwestern Polytechnical University,Xi'an，710072

Online:2011-09-25 Published:2011-09-27
Supported by:
Key Program of National Natural Science Foundation of China（No. 70931004）

摘要/Abstract

摘要：

针对质量监控与调整中噪声信息对测量数据质量影响的问题，提出了一种基于统计过程控制（SPC）与工程过程控制(EPC）集成的制造过程质量监控与调整方法。建立了基于波动状态的统计过程控制与工程过程控制集成模型，实现了在质量监控的同时进行波动补偿。在质量监控阶段，首先采用

Kalman滤波方法对含有噪声信息的测量数据进行滤波处理，估计得到波动状态，再依据滤波状态建立指数加权移动平均控制图进行质量监控，通过平均运行长度验证了该质量监控方法的性能。在质量调整阶段，基于波动状态对制造过程进行了调整。运用生产实例验证了方法的有效性和准确性。

关键词:

统计过程控制, 工程过程控制, 波动状态, Kalman滤波

Abstract:

A quality monitoring and adjustment method based on the integration of SPC and EPC was proposed to solve the problems of quality control caused by noise in manufacturing processes.The integrated model of SPC and EPC based on variation state was built. Under the integrated framework, the methods of exponentially weighted moving average based on Kalman filter and process adjustment based on manufacturing process state were put forward to monitor quality and adjust process variations.Quality

offset compensation was achieved while monitoring quality by integrating SPC and

EPC.At the stage of quality monitoring, the technology of

Kalman filter was first adopted to smooth data and to reduce noise, and then control charts were built by the method of exponentially weighted moving average to monitor processes. Average run length was adopted to verify the performance of the proposed method. At the stage of process adjustment, the model of process adjustment was built for smoothed data, and the variation state estimated values were used to adjust process variation.

An application sample was developed to illustrate the feasibility and validity of the proposed quality monitoring and adjustment method.

Key words:

statistical process control(SPC), engineering process control(EPC), variation state, Kalman filter

中图分类号:

TH16
TP273

王佩, 张定华, 陈冰, 王明微, 李山.

基于SPC与EPC集成的制造过程质量监控与调整

[J]. 中国机械工程, 2011, 22(18): 2203-2208.

WANG Pei, ZHANG Ding-Hua, CHEN Bing, WANG Meng-Wei, LI Shan.

Quality Monitoring and Adjustment Method in Manufacturing Processes Based on Integration of SPC and EPC

[J]. China Mechanical Engineering, 2011, 22(18): 2203-2208.

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