Application of artificial neural networks in linear profile monitoring

► Three ANN based methods for monitoring linear profiles are proposed. ► Proposed methods perform better than T2, EWMA/R and EWMA-3 charts for medium to large shifts. ► A advantage of proposed ANN methods is to train the neural networks to detect desired shifts. ► ARL criterion is used to assess the efficiencies of the methods. ► Control charts are used to detect shifts in intercept, slope and residuals.