Database providing access to the High Technology Network's industrial research offering: research competences, type of analyses and tests available at the Laboratories. Companies can consult the Catalogue to find Laboratories and researchers that match their needs.
Competence
Acquisition and pre-processing of signals for model identification
Algorithms and systems for fault detection
Algorithms for fault identification
Analysis of the time to failure of components and systems
Biomarker identification to assess the effects of bioactive components in humans
Continuous-time and discrete-time mathematical modeling of systems and processes
Design for Maintenance e e-Maintenance
Discrete events mathematical modeling of systems and processes
e-maintenance: remote management of maintenance and fault
Effects of industrial processes on the nutritional qualities of foods
Evaluation of dietary habits of the population in order to identify risk behaviours and prevention strategies
Evaluation of the interactions between food matrix and bioactive components
Evaluation of the organoleptic characteristics of food bioactive components and related food
Evaluation of the physical, chemical, and microbial characteristics of products
Extraction of bioactive components from food waste (polyphenols, omega3 and omega6 fatty acids)
Failure Mode and Effect Analysis - FMEA
Fault tolerant control
Fault Tree Analisys - FTA
Finite element simulation (FEM)
Formal languages for systems modeling (Unified Modeling Language-UML and SysML-System Modeling Language)
Functional compounds characterization from raw materials, ingredients, food and food industry left-overs
Human studies for the validation of nutritional/health claims (including analysis of biological samples and statistical analysis of the results)
Identification of models and parameters estimation
Infinite-dimensional mathematical modeling of systems
Market survey and consumer trends towards functional foods
Mathematical modelling for product/process optimization
Modeling of the collision of bodies in mechanical systems
Non-parametric modeling (neural networks, etc.)
Optimization of raw material selection for food processing/products
Packaging, designing and testing: choice of the proper materials for the desired product
Packaging, designing and testing: shelf-life evaluation of food products and bioactive components
Predictive maintenance
Preparation of the nutritional/health claims application
Reliability
Scheduled maintenance
Selection of nutritional/health claims according to EU Regulation
Self-diagnosis
Sensors for predictive maintenance
Set up of in vitro methods and animal models for the evaluation of the health effects of food bioactive components
Signal processing for fault identification