Design of a multivariate alarm delay-timers system for a comment rotary kiln

Abstract

Alarm systems play an important role in industrial processes in the prevention of major accidents or disasters that lead to casualties and economical losses. In practice, however, nuisance alarms interfere with operators’ judgment. A good thresholding system should be able to distinguish between normal and abnormal situations of sensors measurements. Accomplishing this became a very challenging task since various techniques already exist. In this thesis, a novel technique is used to enhance the performance of alarm systems. This technique is mainly based on modeling the process using the principal component analysis (PCA). Once the model is validated; Instead of the conventional control limits, a combined index is used with delay-timers to enhance the alarm system’s performance. Simulated and industrial examples are discussed to prove the effectiveness of the proposed method in designing industrial alarm systems. This method proved its efficiency to fulfill high alarm performance.