E. Barca, D. E. Bruno, A. Lay-Ekuakille, S. Maggi, G. Passarella
The variogram incorporates the basic information for the geostatistical analysis of spatial data, mak- ing it one of the most popular and widespread approaches for the evaluation and assessment of environmental data. Fitting an experimental variogram with a proper model, capable of catching the main characteristics of the sampled data, is a critical stage of spatial analysis. This stage is generally carried out using a semi-automatic approach, with different levels of user’s contribution. Once a model and the related starting parameter values have been defined, they can be refined using a...
Measurement for the endorsement of the subsoil and historical evidences
· TC19
· 2016
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Mike Gerdes, Diego Galar, Dieter Scholz
Pattern recognition and signal analysis can be used to support and simplify the monitoring of complex aircraft systems. For this purpose, information must be extracted from the gathered data in a proper way. The parameters of the signal analysis need to be chosen specifically for the monitored system to get the best pattern recognition accuracy. An optimization process to find a good parameter set for the signal analysis has been developed by the means of global heuristic search and optimization. The computed parameters deliver slightly (one to three percent) better results than the ones...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Christian Laurano, Giacomo Leone, Michele Zanoni
Power transmission lines represent the core of the High Voltage Network since they are responsible for the transport of the electrical energy from the generation power plants to the electrical substations. In this paper, an analysis of the outages occurred to the Italian Overhead Transmission Lines (OHTLs) from 2008 to 2015 is carried out. A new simple and effective reliability index, namely the Severity Factor, is introduced in order to prioritize the most relevant outage causes. The analysis has been performed focusing on the geographical distribution of the OHTLs. The obtained results...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Marcantonio Catelani, Lorenzo Ciani, Giulia Guidi, Matteo Venzi
The main part of the paper deals with the parameter estimation methods that used to determine the best-fitting distribution for a set of data collected during testing or field operations. The methods considered in that case are Least Square Estimation and Maximum Likelihood Estimation. Finally, two different types of field data such as failure times achieved with testing of electronic board for automatic control and with accelerated testing on electronic components were analyzed to find which distribution fits better the data.
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Marcantonio Catelani, Lorenzo Ciani, Matteo Venzi
System reliability represents a key performance of modern products and nowadays being reliable is one of the most important requirements, in particular in the industrial field. This paper is focused on the reliability improvement of complex systems containing redundant architectures through Reliability Importance (RI): starting from the single component reliability, RI procedures are used to evaluate their impact on the whole system. This practice is particularly helpful during the design stage of complex systems since it allows design engineers to have reliability feedbacks before the...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Giacomo Leone, Loredana Cristaldi
In this paper, a nonlinear predictor of the electrical power produced by a PV string is proposed. The first phase of the approach is the training of the predictor, during which four characteristic parameters are determined. Such coefficients are representative of the string under study and define its electrical signature (identikit). Once trained the model, when new monitoring data are available, the mismatch between the forecasted and measured electrical power can be assumed as a reliable marker of the performances of the string, since the greater the mismatch, the worse the string...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Ting Lei, Marco Faifer, Roberto Ottoboni, Sergio Toscani
The conventional instrument transformers (CITs) are still widely used in the power network, thanks to their high reliability, insulation capability and low drift over time and temperature. Their traditional reliability is very often used as justification for skipping a periodical calibration, which requires putting off-line the CIT, thus implying a very complex and expensive procedure. For this reason, in the last years, a growing interest has been addressed towards the diagnostic/calibration methods based on on-line procedure. The typical approach is based on the frequency response analysis...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Giacomo Leone, Loredana Cristaldi, Simone Turrin
In this paper, a data-driven prognostic algorithm for the estimation of the Remaining Useful Life (RUL) of a product is proposed. It is based on the acquisition and exploitation of run-to-failure data of homogeneous products, in the followings referred as fleet of products. The peculiar feature of the proposal is that the products composing the fleet are not strictly required to belong to the same system or plants, since the only constraint is that they are characterized by similar operating conditions (f.i. installed in the same region or operating in the same industrial application). The...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Alessia Bramanti, Alessandro Sciva, Giuseppe Campobello, Pier Paolo Capra, Silvia Marino, Placido Bramanti, Nicola Donato
In this paper we report about the development of a compact monitoring system for people affected by neurodegenerative diseases as Parkinson and Alzheimer. The electronic interface is based on a Linkit ONE development board, and it is equipped with an array of up to four ADXL345 accelerometers. By considering the main symptoms of Parkinson subjects, it is possible to monitor tremors/movements and accidental falls of people wearing the system and to send data to a supervisor by Wi-Fi, Bluetooth and GSM connections. Furthermore, the geo-tagging functions, developed by means of a GPS feature,...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
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Paolo Parenti, Marco Camagni, Massimiliano Annoni
Process monitoring plays a key role in industrial machining operations such as turning, milling and grinding, for assuring part quality and long lifespan of cutting tools to reduce production costs. When the part dimensions are scaled down to submillimeter range, process monitoring becomes essential but harder to implement. This work evaluates the possibility to monitor the surface quality of micromilled parts by means of cutting-related signals, such as Cutting Forces and Acoustic Emission. Micromilling of cylindrical pins with 0.8 mm diameter and aspect ratio of 1.875 has been studied,...
TC10 Workshop on Technical Diagnostics 2016
· TC10
· 2016
· Download