Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
Krzysztof Patan
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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

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An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an incre...