a new method is developed for a fast identification of the stability situation of industrial processes. the proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. an indication ratio is then defined as the ratio of the maximum data range value to the difference between the maximum and average values for individual d...

the classical method of process capability analysis necessarily assumes that collected data are independent; nonetheless, some processes such as biological and chemical processes are autocorrelated and violate the independency assumption. many processes exhibit a certain degree of correlation and can be treated by autoregressive models among which the autoregressive model of order one (ar (1)) ...

Control of wellbore pressure during drilling operations has always been important in the oil industry as this can prevent the possibility of well blowout. The present research employs a combination of automatic process control and statistical process control for the first time for the identification, monitoring, and control of both random and special causes in drilling operations. To this end, ...

controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. one of the common approaches for process control is applying shewhart's quality control charts. neuro-fuzzy networks, as one of the branches of artificial intelligence (ai), can play an effective role in the enforcement of process control's common...

This paper presents the Agent SystEms MEthodology (ASEME) for developing multi-agent systems. ASEME proposes a modular agent design approach and introduces the concept of intra-agent control. The latter defines the agent’s lifecycle by coordinating the different modules that implement his capabilities. The modeling of the intra-agent control is based on statecharts. The analysis phase builds on...

The architecture of a process agent is a three-layer BDI, hybrid, multi-agent architecture. These process agents are intended to deal with corporate cultural, or political, sensitivities as well as with corporate rules. These agents adapt their behaviour on the basis of the likelihood of plan success, and on estimates of the time, cost and value of choosing a plan.