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dc.contributor.advisorZubia Zaballa, Joseba Andoni
dc.contributor.advisorAranzabe García, Ana
dc.contributor.authorMabe Alvarez, Jon
dc.date.accessioned2018-02-14T07:14:07Z
dc.date.available2018-02-14T07:14:07Z
dc.date.issued2017-09-11
dc.date.submitted2017-09-11
dc.identifier.urihttp://hdl.handle.net/10810/25046
dc.description779 p.es_ES
dc.description.abstractThe paradigm of process monitoring has evolved in the last years, driven by a clear need for improving efficiency, quality and safety of processes and products. Sectors as manufacturing, energy, food and beverages, etc. are fostering the adoption of innovative methods for controlling their processes and products, in a non-destructive, in-place, reliable, fast, accurate and cost-efficient manner. Furthermore, the parameters requested by the industry for the quality assessment are evolving from basic magnitudes as pressures, temperatures, humidity, etc. to complete chemical and physical fingerprints of these products and processes. In this situation, techniques based on the UV/VIS/NIR light-matter interaction appear to be optimum candidates to face the request of the industry. Moreover, at this moment, when we are witnessing a technological revolution in the field of optoelectronic components, which are required for setting up these light-based analyzers.However, being able to integrate these optoelectronic components with the rest of subsystems (electronics, optics, mechanics, hydraulics, data processing, etc.) is not straightforward. The development of these multi-domain and heterogeneous sensor products meeting not just technological but also market objectives poses a considerable technical and organizational challenge for any company.In this context, a methodological hybrid and agile integration of photonic components within the rest of subsystems towards a sensor product development is presented as the main outcome of the thesis. The methodology has been validated in several industrial scenarios, being three of them included in this thesis, which covers from hydraulic fluid quality control to real-time monitoring of alcoholic beverage fermentation process.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectphotoelectricityes_ES
dc.subjectfluid mechanicses_ES
dc.subjectphoto-electric deviceses_ES
dc.subjectinteracción de ondas electromagnéticas con la materiaes_ES
dc.subjectfotoelectricidades_ES
dc.subjectespectroscopia ópticaes_ES
dc.titlePhotonic low-cost sensors for in-line fluid monitoring. Design methodologyes_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES
dc.rights.holderAtribución 3.0 España*
dc.rights.holder(cc)2017 JON MABE ALVAREZ, (cc by 4.0)
dc.identifier.studentID231473es_ES
dc.identifier.projectID16199es_ES
dc.departamentoesIngeniería de comunicacioneses_ES
dc.departamentoeuKomunikazioen ingeniaritzaes_ES


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España