โ Scribed by A. Amendola; U. Bersini; P.C. Cacciabue; G. Mancini
No coin nor oath required. For personal study only.
In this paper the developments and issues identified in modelling humans and machines are discussed; the possibility of combining them through the system response analyser (SRA) methodology is presented as a balanced approach to be applied when the objective is"the study of safe management of systems during abnormal sequences. Attention is then devoted to the human behaviour model implemented or being developed for SRA, and the general frame in which manual and cognitive human activities interact with each other and are carded over by operators in controlling the evolution of transients in complex plants. The model considers two levels of cognitive processes: a high-level decision making, whereby the reasoning about the plant as a whole takes place and a low-level decision making, in which the actual actions of control are carded over. Accounts are also given for the mechanisms of error making and recovery.
๐ SIMILAR VOLUMES
Conventional fuzzy cognitive maps ~FCMs! can only represent monotonic or symmetric causal relationships and cannot simulate the AND/OR combinations of the antecedent nodes. The rulebased fuzzy cognitive maps ~RBFCMs! usually suffer from the well-known combinatorial rule explosion problem. A hybrid f
## Abstract A twoโphase 1D+1D model of a direct methanol fuel cell (DMFC) is developed, considering overall mass balance, methanol transport in gas phase through anode diffusion layer, methanol and water crossover. The model is quantitatively validated on an extensive range of operating conditions,