Automated steady and transient state identification in noisy processes

A computationally simple method is developed, analyzed, and demonstrated for automated identification of probable steady state and probable transient state in noisy process signals. The method is insensitive to noise variance. The tutorial will develop the equations, reveal the execution code (5 lines, explicit calculations, low storage), discuss implementation and critical values, qualitatively compare the approach to other approaches, and provide analysis with respect to computational burden, sensitivity, and average run length.