A robust procedure for damage detection from strain measurements based on principal component analysis

FBGs are excellent strain sensors, because of its low size and multiplexing capability. Tens to hundred of sensors may be embedded into a structure, as it has already been demonstrated. Nevertheless, they only afford strain measurements at local points, so unless the damage affects the strain readings in a distinguishable manner, damage will go undetected. This paper show the experimental results obtained on the wing of a UAV, instrumented with 32 FBGs, before and after small damages were introduced. The PCA algorithm was able to distinguish the damage cases, even for small cracks. Principal Component Analysis (PCA) is a technique of multivariable analysis to reduce a complex data set to a lower dimension and reveal some hidden patterns that underlie.

Caracterización de la necrosis sistémica inducida por la interacción sinérgica entre el Virus X de la patata y potyvirus en Nicotiana benthamiana

Los virus de plantas pueden causar enfermedades severas que conllevan serias pérdidas económicas a nivel mundial. Además, en la naturaleza son comunes las infecciones simultáneas con distintos virus que conducen a la exacerbación de los síntomas de enfermedad, fenómeno al que se conoce como sinergismo viral. Una de las sintomatologías más severas causadas por los virus en plantas susceptibles es la necrosis sistémica (NS), que incluso puede conducir a la muerte del huésped. Este fenotipo ha sido comparado en ocasiones con la respuesta de resistencia de tipo HR, permitiendo establecer una serie de paralelismos entre ambos tipos de respuesta que sugieren que la NS producida en interacciones compatibles sería el resultado de una respuesta hipersensible sistémica (SHR). Sin embargo, los mecanismos moleculares implicados en el desarrollo de la NS, su relación con procesos de defensa antiviral o su relevancia biológica aún no son bien entendidos, al igual que tampoco han sido estudiados los cambios producidos en la planta a escala genómica en infecciones múltiples que muestran sinergismo en patología. En esta tesis doctoral se han empleado distintas aproximaciones de análisis de expresión génica, junto con otras técnicas genéticas y bioquímicas, en el sistema modelo de Nicotiana benthamiana para estudiar la NS producida por la infección sinérgica entre el Virus X de la patata (PVX) y diversos potyvirus. Se han comparado los cambios producidos en el huésped a nivel genómico y fisiológico entre la infección doble con PVX y el Virus Y de la patata (PVY), y las infecciones simples con PVX o PVY. Además, los cambios transcriptómicos y hormonales asociados a la infección con la quimera viral PVX/HC‐Pro, que reproduce los síntomas del sinergismo entre PVX‐potyvirus, se han comparado con aquellos producidos por otros dos tipos de muerte celular, la PCD ligada a una interacción incompatible y la PCD producida por la disfunción del proteasoma. Por último, técnicas de genética reversa han permitido conocer la implicación de factores del huésped, como las oxilipinas, en el desarrollo de la NS asociada al sinergismo entre PVXpotyvirus. Los resultados revelan que, respecto a las infecciones con solo uno de los virus, la infección doble con PVX‐PVY produce en el huésped diferencias cualitativas además de cuantitativas en el perfil transcriptómico relacionado con el metabolismo primario. Otros cambios en la expresión génica, que reflejan la activación de mecanismos de defensa, correlacionan con un fuerte estrés oxidativo en las plantas doblemente infectadas que no se detecta en las infecciones simples. Además, medidas en la acumulación de determinados miRNAs implicados en diversos procesos celulares muestran como la infección doble altera de manera diferencial tanto la acumulación de estos miRNAs como su funcionalidad, lo cual podría estar relacionado con los cambios en el transcriptoma, así como con la sintomatología de la infección. La comparación a nivel transcriptómico y hormonal entre la NS producida por PVX/HC‐Pro y la interacción incompatible del Virus del mosaico del tabaco en plantas que expresan el gen N de resistencia (SHR), muestra que la respuesta en la interacción compatible es similar a la que se produce durante la SHR, si bien se presenta de manera retardada en el tiempo. Sin embargo, los perfiles de expresión de genes de defensa y de respuesta a hormonas, así como la acumulación relativa de ácido salicílico (SA), ácido jasmonico (JA) y ácido abscísico, en la interacción compatible son más semejantes a la respuesta PCD producida por la disfunción del proteasoma que a la interacción incompatible. Estos datos sugieren una contribución de la interferencia sobre la funcionalidad del proteasoma en el incremento de la patogenicidad, observado en el sinergismo PVX‐potyvirus. Por último, los resultados obtenidos al disminuir la expresión de 9‐LOX, α‐DOX1 y COI1, relacionados con la síntesis o con la señalización de oxilipinas, y mediante la aplicación exógena de JA y SA, muestran la implicación del metabolismo de las oxilipinas en el desarrollo de la NS producida por la infección sinérgica entre PVXpotyvirus en N. benthamiana. Además, estos resultados indican que la PCD asociada a esta infección, al igual que ocurre en interacciones incompatibles, no contiene necesariamente la acumulación viral, lo cual indica que necrosis e inhibición de la multiplicación viral son procesos independientes. ABSTRACT Plant viruses cause severe diseases that lead to serious economic losses worldwide. Moreover, simultaneous infections with several viruses are common in nature leading to exacerbation of the disease symptoms. This phenomenon is known as viral synergism. Systemic necrosis (SN) is one of the most severe symptoms caused by plant viruses in susceptible plants, even leading to death of the host. This phenotype has been compared with the hypersensitive response (HR) displayed by resistant plants, and some parallelisms have been found between both responses, which suggest that SN induced by compatible interactions could be the result of a systemic hypersensitive response (SHR). However, the molecular mechanisms involved in the development of SN, its relationship with antiviral defence processes and its biological relevance are still unknown. Furthermore, the changes produced in plants by mixed infections that cause synergistic pathological effects have not been studied in a genome‐wide scale. In this doctoral thesis different approaches have been used to analyse gene expression, together with other genetic and biochemical techniques, in the model plant Nicotiana benthamiana, in order to study the SN produced by the synergistic infection of Potato virus X (PVX) with several potyviruses. Genomic and physiological changes produced in the host by double infection with PVX and Potato virus Y (PVY), and by single infection with PVX or PVY have been compared. In addition, transcriptional and hormonal changes associated with infection by the chimeric virus PVX/HC‐Pro, which produces synergistic symptoms similar to those caused by PVX‐potyvirus, have been compared with those produced by other types of cell death. These types of cell death are: PCD associated with an incompatible interaction, and PCD produced by proteasome disruption. Finally, reverse genetic techniques have revealed the involvement of host factors, such as oxylipins, in the development of SN associated with PVX‐potyvirus synergism. The results revealed that compared with single infections, double infection with PVX‐PVY produced qualitative and quantitative differences in the transcriptome profile, mainly related to primary metabolism. Other changes in gene expression, which reflected the activation of defence mechanisms, correlated with a severe oxidative stress in doubly infected plants that was undetected in single infections. Additionally, accumulation levels of several miRNAs involved in different cellular processes were measured, and the results showed that double infection not only produced the greatest variations in miRNA accumulation levels but also in miRNA functionality. These variations could be related with transcriptomic changes and the symptomatology of the infection. Transcriptome and hormone level comparisons between SN induced by PVX/HCPro and the incompatible interaction produced by Tobacco mosaic virus in plants expressing the N resistance gene (SHR), showed some similarities between both responses, even though the compatible interaction appeared retarded in time. Nevertheless, the expression profiles of both defence‐related genes and hormoneresponsive genes, as well as the relative accumulation of salicylic acid (SA), jasmonic acid (JA) and abscisic acid in the compatible interaction are more similar to the PCD response produced by proteasome disruption. These data suggest that interference with proteasome functionality contributes to the increase in pathogenicity associated with PVX‐potyvirus synergism. Finally, the results obtained by reducing the expression of 9‐LOX, α‐DOX1 and COI1, related with synthesis or signalling of oxylipins, and by applying exogenously JA and SA, revealed that oxylipin metabolism is involved in the development of SN induced by PVX‐potyvirus synergistic infections in N. benthamiana. Moreover, these results also indicated that PVX‐potyvirus associated PCD does not necessarily restrict viral accumulation, as is also the case in incompatible interactions. This indicates that both necrosis and inhibition of viral multiplication are independent processes.

Automatic fault detection on BIPV systems without solar irradiation data

BIPV systems are small PV generation units spread out over the territory, and whose characteristics are very diverse. This makes difficult a cost-effective procedure for monitoring, fault detection, performance analyses, operation and maintenance. As a result, many problems affecting BIPV systems go undetected. In order to carry out effective automatic fault detection procedures, we need a performance indicator that is reliable and that can be applied on many PV systems at a very low cost. The existing approaches for analyzing the performance of PV systems are often based on the Performance Ratio (PR), whose accuracy depends on good solar irradiation data, which in turn can be very difficult to obtain or cost-prohibitive for the BIPV owner. We present an alternative fault detection procedure based on a performance indicator that can be constructed on the sole basis of the energy production data measured at the BIPV systems. This procedure does not require the input of operating conditions data, such as solar irradiation, air temperature, or wind speed. The performance indicator, called Performance to Peers (P2P), is constructed from spatial and temporal correlations between the energy output of neighboring and similar PV systems. This method was developed from the analysis of the energy production data of approximately 10,000 BIPV systems located in Europe. The results of our procedure are illustrated on the hourly, daily and monthly data monitored during one year at one BIPV system located in the South of Belgium. Our results confirm that it is possible to carry out automatic fault detection procedures without solar irradiation data. P2P proves to be more stable than PR most of the time, and thus constitutes a more reliable performance indicator for fault detection procedures. We also discuss the main limitations of this novel methodology, and we suggest several future lines of research that seem promising to improve on these procedures.