2024-03-28T19:28:56Zhttps://www.tdx.cat/oai/requestoai:www.tdx.cat:10803/836702023-06-09T08:27:31Zcom_10803_253col_10803_273
nam a 5i 4500
Métodos de clasificación
Classification methods
Mètodes de classificació
Proceso de supervisión
Process supervision
Procés de supervisió
Qualitative representation
Representació qualitativa
Representación cualitativa
Programación dinámica
Dynamic programming
Programació dinàmica
Evaluación de situaciones
Situation assessment
Avaluació de situacions
Pattern recognition based on qualitative representation of signals. Application to situation assessment of dynamic systems
[Girona] :
Universitat de Girona,
2012
Accés lliure
http://hdl.handle.net/10803/83670
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Gamero Argüello, Fco. Ignacio ,
(Francisco Ignacio)
autor
1 recurs en línia (236 pàgines)
Tesi
Doctorat
Universitat de Girona. Institut d'Informàtica i Aplicacions
2012
Universitat de Girona. Institut d'Informàtica i Aplicacions
Tesis i dissertacions electròniques
Colomer, Joan
(Colomer Llinàs)
supervisor acadèmic
TDX
The main focus of situation assessment is to decide on the adequacy of process behaviour with respect to specifications. When is not possible to have a mathematical model to represent the system operation, other non-model-based techniques must be considered. Classification methods are typically proposed as strategies for diagnosis. Here, identification of the functional states is reduced to recognising the current shapes of variables as well-known states, commonly taking advantage of a process expert or past experiences. However, human knowledge is related to concepts and symbols whereas process acquisition systems provide monitoring systems with numerical data. Consequently, these type of knowledge-based decision systems are usually forced to work in a higher level of abstraction using symbolic representations. This thesis deals with the study of classification methods when performing qualitative trends analysis. The aim is to obtain qualitative trends and their classification by means of the extracted knowledge from past experiences. This doctoral dissertation deals with the study of classification methods when performing qualitative trends analysis. The aim is to obtain qualitative trends and their classification by means of the extracted knowledge from past experiences.
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