ISBN-13: 9783639147322 / Angielski / Miękka / 2009 / 436 str.
To date the majority of the research related to the development and application of monitoring, diagnostic, and prognostic systems has been exclusive in the sense that only one of the three areas is the focus of the work. While previous research progresses each of the respective fields, the end result is a variable "grab bag" of techniques that address each problem independently. Also, the new field of prognostics is lacking in the sense that few methods have been proposed that produce estimates of the remaining useful life (RUL) of a device or can be realistically applied to real-world systems. This work addresses both problems by developing the nonparametric fuzzy inference system (NFIS) which is adapted for monitoring, diagnosis, and prognosis and then proposing the path classification and estimation (PACE) model that can be used to predict the RUL of a device that does or does not have a well defined failure threshold.
To date the majority of the research related to thedevelopment and application of monitoring, diagnostic, and prognosticsystems has been exclusive in the sense that only one of the threeareas is the focus of the work. While previous research progresses each ofthe respective fields, the end result is a variable "grab bag" oftechniques that address each problem independently. Also, the new field ofprognostics is lacking in the sense that few methods have beenproposed that produce estimates of the remaining useful life (RUL)of a device or can be realistically applied to real-world systems. Thiswork addresses both problems by developing the nonparametric fuzzyinference system (NFIS) which is adapted for monitoring,diagnosis, and prognosis and then proposing the path classificationand estimation (PACE) model that can be used to predict the RUL of adevice that does or does not have a well defined failure threshold.