Jesús M. Zamarreño

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The complexity of the mechanisms underlying organic matter mineralization and nutrient removal in algal-bacterial photobioreactors during the treatment of residual wastewaters has severely hindered the development of mechanistic models able to accurately describe these processes. Artificial neural networks (ANNs) are capable of inferring the complex(More)
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(More)
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