摘要
在动态过程测量数据分析中,首先必须对测量数据进行预处理,剔除并修正由干扰引起的测量异常值。一种改进的奇异谱分析数据预处理是通过使用奇异谱分析平滑的方法建立判断测量数据中异常值的基准,再通过设立检验准则判断异常值并加以修补,在实际动态过程测量数据预处理应用中效果明显。
In the data analysis of dynamic process test and measurement,the sampled data need to be pretreated to identify and eliminate the abnormal data caused by accidental interference. An improved algorithm based on Singular Spectrum Analysis is presented. By means of singular spectrum analysis smoothing method,the algorithm establishes a benchmark to identify the abnormal data,and then with the 3σ criterion,the abnormal data is eliminated and replaced by a reasonable one. The feasibility of this algorithm has been validated by practical dynamic process test application.
出处
《传感技术学报》
CAS
CSCD
北大核心
2010年第4期558-561,共4页
Chinese Journal of Sensors and Actuators
关键词
动态过程测量
预处理
坏值剔除
奇异谱分析
dynamic process test and measurement
preprocessing
abnormal data erasing
singular spectrum analysis
