**3.2 Offline implementation of OFA for batch monitoring**

When one new batch is completed, after being applied orthonormal function transformation, all the variables of the batch along the time trajectory become a row vector composed of a series of coefficients ,1 ,2 , [ , ,..., ] *new new new new J CC C* that can be projected onto Θ to implement PCA/ICA algorithm.
