关键词: 加工过程, 监控数据, 数据准确性, 量化评价与优化, 测量不确定度, 汽轮机转子轮槽

Abstract: Data accuracy deeply influences validity of data analysis.Caused by unavailable theoretical true value of process monitoring data,data accuracy is difficult to quantitatively evaluate.A data accuracy assessment and optimization method combined measurement uncertainty and locally sensitive hashing was proposed.Measurement uncertainty method was applied to convert uncertainty to accuracy.To weigh and calculate comprehensive evaluation,the analytic hierarchy process and coefficient of variation were used.Data quality was optimized by locally sensitive hashing under Euclidean distance and k-nearest neighbor algorithm.To verify the proposed method,monitoring data of turbine rotor groove was used.Exponential smoothing,distance-based outlier detection,minimum covariance estimation and isolation forest were utilized to verify the effectiveness of measurement uncertainty method and importance of data quantitative evaluation and optimization.

Key words: processing, monitoring data, data accuracy, quantitative assessment and optimization, measurement uncertainty, turbine rotor groove