Using structural decomposition methods to design gray-box models for fault diagnosis of complex industrial systems: a beet sugar factory case study
Reliable and timely fault detection and isolation are necessary tasks to guarantee
continuous performance in complex industrial systems, avoiding failure propagation in the
system and helping to minimize downtime. Model-based diagnosis fulfils those
requirements, and has the additional advantage of using reusable models. However,
reusing existing complex non-linear models for diagnosis in large industrial systems is not
straightforward. Most of the times the models have been created for other purposes different …
continuous performance in complex industrial systems, avoiding failure propagation in the
system and helping to minimize downtime. Model-based diagnosis fulfils those
requirements, and has the additional advantage of using reusable models. However,
reusing existing complex non-linear models for diagnosis in large industrial systems is not
straightforward. Most of the times the models have been created for other purposes different …
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