Multi-decision prognosis: Decentralized architectures cooperating for predicting failures in discrete event systems

A new framework, called multi-decision prognosis, has been recently developed, which consists in using several decentralized architectures working in parallel and whose prognoses are combined to obtain an effective prognosis. In this paper, we analyze and improve multi-decision prognosis in several ways. Firstly, we present a generic form of multi-decision prognosis which is independent on the architectures in parallel and on how their decisions a combined. Secondly, we solve in a rigorous way a problem of decomposing infinite languages which arises with multi-decision prognosis. Thirdly, we identify and solve a so-called hesitation problem that arises in multi-decision prognosis.