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- W83084994 abstract "Publisher Summary This chapter aims to deal with three promising types of process fault diagnosis techniques based on qualitative models, fuzzy modeling and matching, and approximate quantitative models. Process fault diagnosis method based on qualitative models is the most promising method and using this, all the possible faults can be detected and identified, and rare and unanticipated faults can be dealt with. With the Process fault diagnosis method based on fuzzy models, input and output data representing the normal and the faulty operations are required to construct the reference fuzzy models. With the Process fault diagnosis method based on approximate quantitative models, precise mathematical equations representing the steady state of the process are required, although it may be difficult in many practical cases. This chapter describes the outline of qualitative reasoning and simulation, and the diagnosis techniques based on qualitative simulation and their applications. It also describes the outlines of fuzzy modeling and matching, and the diagnosis techniques based on them and their applications. It illustrates the diagnosis techniques using approximate quantitative equations and their applications." @default.
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- W83084994 date "2002-01-01" @default.
- W83084994 modified "2023-09-27" @default.
- W83084994 title "Model-Based Process Fault Diagnosis" @default.
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- W83084994 doi "https://doi.org/10.1016/b978-012443880-4/50088-0" @default.
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