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9762 papers found

Simone Turrin, Subanatarajan Subbiah

Uncertainty Analysis in Prognostics for Optimal Maintenance

Reliable prognostics have become indispensable to provide predictive service solutions. In fact, by assessing the residual useful life of a product, a condition-based maintenance strategy can be adopted. Consequently, the appropriate service activity can be assigned and scheduled only if and when required. Hence cost and time related to unnecessary preventive service tasks is saved. Prognostics algorithms are usually affected by different types of uncertainties stemming, for example, by randomness and lack of knowledge in the degradation behaviour, the inherent failure mechanism and the...

TC10 Workshop 2013 · TC10 · 2013 · Download
Leopoldo Angrisani, Rosario Schiano Lo Moriello, Giovanni Scarpato, Michele Vadursi

A DSP-based instrument for in-service wireless transmitter power measurement

A prototype of a DSP-based instrument for in-service transmitter power measurements is presented. The instrument implements a signal-selective algorithm for power measurements that is suitable for use in wireless environments, where possible uncontrolled interfering sources occupy the radio channel and are overlapped to the signal emitted by the transmitter under test, possibly in both time and frequency domains. The measurement method exploits the principles of cyclic spectral analysis, which are briefly recalled in the paper. Potentialities as well as use limitations for the prototype are...

TC10 Workshop 2013 · TC10 · 2013 · Download
P. Cova, N. Delmonte, F. Giuliani, M. Citterio, S. Latorre, A. Lanza, M. Lazzaroni

Thermal modeling and characterization of power converters for LHC power supplies

Power supplies for LHC experiments require DC-DC power converters able to work in very hostile environment. The APOLLO collaboration, funded by the Italian Istituto Nazionale di Fisica Nucleare (INFN), aims to study dedicated topologies and to design, build and test demonstrators, developing the needed technology for the industrialization phase. Besides the presence of radiation and magnetic fields, thermal specifications are particularly stringent in the working environment. In order to have the wanted features in terms of reliability and availability during the experimental activity, these...

TC10 Workshop 2013 · TC10 · 2013 · Download
Giuseppe Dinardo, Laura Fabbiano, Gaetano Vacca

Influences of Geometric Configuration on the Analysis of Uncertainties Affecting a Novel Configuration of Self-Tracking LDV

The main purpose of the paper is to assess the reliability of particular configuration of Laser Doppler Vibrometry intended to be suitable for the analysis of vibrations affecting rotating components of machines. In the paper an analysis of uncertainty has been carried out due to the possible static misalignments of the mirrors utilized in the experimental apparatus set up for the estimation of the out of plane vibrations of moving (rotating) objects. Those misalignments have to be distinguished from the so called dynamic ones due instead to dynamic effects induced by the movement of the...

TC10 Workshop 2013 · TC10 · 2013 · Download
Giovanni Bucci, Fabrizio Ciancetta, Edoardo Fiorucci

An Automatic Measurement System for the Performance Evaluation of Medium-sized and Large Photovoltaic Plants

In recent years renewable sources of power are being increasingly exploited to address the challenges of climate change and fossil fuel depletion. Wind power and solar power are two of the few renewable energy sources capable of rapidly satisfying a reasonable proportion of future energy requirements. Acceptance testing of medium-sized and large photovoltaic (PV) plants requires functional tests executed to verify the proper working and energy efficiency. A final certificate ensures the compliance with the technical requirements, as required by Italian Conto Energia program. Tests must be...

TC10 Workshop 2013 · TC10 · 2013 · Download
I. Arsie, G. Betta, D. Capriglione, A. Pietrosanto, P. Sommella

A Novel Statistical Approach for Testing Automotive Control Software

The paper describes an effective testing method for control software. Starting from a previous release, the authors propose a proper update of their methodology to make it feasible for testing a new class of software which requires to take into account the time interdependence among the software inputs. The statistical approach has been applied to a typical automotive case study that concerns with the validation of monitoring and control software for the engine management system.

TC10 Workshop 2013 · TC10 · 2013 · Download
Robson Pacífico Guimarães Lima, Bruno Willian de Souza Arruda, Cleonilson Protásio de Souza

Fault Detection for a Temperature Control System using PID Controller Based on Artificial Immune Systems

An Artificial-Immune-System (AIS) based anomaly detection system applied to a PID-based Temperature Control System (TCS) is presented. At normal working, the environment temperature is controlled by PID Control System in a LabVIEWTM platform. As the TCS is composed of sensors, PID circuitry and PWM actuator, faults in these devices can cause abnormal disturbances. An AIS-based algorithm, namely, the Negative Selection Algorithm (NSA), is the base of the proposed anomaly detection system. The NSA verifies abnormal system conditions based on the normal system conditions and it was used to...

TC10 Workshop 2013 · TC10 · 2013 · Download
Piotr Bilski

Data set processing for the optimization of the artificial intelligence-based diagnostic methods

The paper presents the application of selected statistical methods to process the training and testing data sets and prepare them for the artificial intelligence-based method used in the diagnostics of analog systems. The size of the set (especially the number of processed attributes – stamps) determines the efficiency of the selected algorithm and minimizes the amount of information to be measured in the actual system. The preprocessing operations include elimination of constant or quasi-stationary stamps and selection of their most important set, allowing for the efficient fault detection...

TC10 Workshop 2013 · TC10 · 2013 · Download
Francisco Rodriguez Verdugo, Enrico Concettoni, Alessandro Bastari, Cristina Cristalli, Maurizio de Palma

Automating end-of-line quality control tests of small brushed DC motors

Robust end-of-line tests are important in manufacturing to monitor production quality and to guarantee that only fault-free products are delivered to customers. By automating quality control tests, subjectivity can be removed from this important process and traceability of defects can be improved. This paper describes a prototype station that automatically tests and classifies small brushed DC motors. In order to perform fault diagnosis, four different quantities are monitored: acoustic noise, mechanical vibration, voltage and current. A three-step approach consisting in a feature extraction...

TC10 Workshop 2013 · TC10 · 2013 · Download