包括主成分分析、因子分析、贝叶斯分析，通过反复训练模板能有较高的识别率，可以广泛的应用于数据预测及数据分析,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，包含特征值与特征向量的提取、训练样本以及最后的识别，采用偏最小二乘法。-Including principal component analysis, factor analysis, Bayesian analysis, Through repeated training viOSSDYlate have higher recognition rate, Can be widely used in data analysis and forecast data, PV modules contain, MPPT module, BOOST module, inverter module, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Partial least squares method.