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中文摘要：
现代制造过程中，工件的质量受到多种误差源的影响，在辨识出加工过程的误差源之后，如何调整过程采补偿加工误差已成为一个重要的技术难题。考虑加工过程调整中噪声信息对调整效果的影响，提出了一种基于小波实时去噪的多元工程过程控制调整方法。首先采用小波实时去噪方法对含有噪声信息的测量数据进行实时滤波处理，再根据滤波状态来预测生产过程接下来可能出现的加工误差，进而通过多元指数加权移动平均控制器计算调整夹具定位销的长度来补偿加工特征误差，提高产品加工精度。最后以叶片的简化模型为例，通过产品加工特征输出误差值的变化验证了加工过程误差调整方法的有效性。
英文摘要：
In modern manufacturing process, the quality of workpiece is restricted by various error sources, when the process error sources were identified, how to adjust process to compensate for machining error had became an important technical problem An adjustment method of machining process based on wavelet real-time denoising and multivariate engineering process control （MEPC） were proposed to solve the problems of process adjustment caused by noise in manufacturing process. The technology of wavelet real-time denoising was adopted to real-time smooth data and to reduce noise, and then predicted the possible machining error of the next run according to the filter state, and the multivariate exponentially weighted moving average （MEWMA） controller was used to calculate and adjust the length of the fixture locating pins to compensate for the machining feature error, to improve the product machining precision. Finally, taking a simplified model of someone type blade as on example, the effect of the errors adjustment method was verified by evaluating the percentage reduction of output error value of the product processing characteristic.
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