1,721,099 research outputs found
The instrumentation and measurement society technical committee TC-37: Measurements and networking
No full textTC-37-Measurements and Networking (current Chair Prof. Domenico Capriglione, University of Cassino and Southern Lazio, Italy) began six years ago as a proposal of Prof. Leopoldo Angrisani (University of Napoli Federico II, Italy) and Prof. Claudio Narduzzi (University of Padova, Italy) with the main purpose of increasing awareness and interest in networking and to encourage Instrumentation and Measurement Society (IMS) members to apply their skills and extend their knowledge of networking-related problems in the field of Instrumentation and Measurement (IM) applications
Prototipo di un sistema di misura per la valutazione del volume di placche nella carotide
No full textA multi-frequency approach to mitigate the performance degradation of a magnetic positioning system under CW disturbance conditions
No full textMagnetic localization in 3D space is a challenging but promising task in those indoor applications where low costs and limited range are key requirements as in industrial and in some medical clinics’ frameworks. In such cases, the localization system generally operates in disturbed environments where, in the worst case, continuous-wave disturbances could permanently affect the system performance. Therefore, the evaluation of its susceptibility to external disturbances is an issue to be assessed, before deploying the most suitable solution. Therefore, it is important to accomplish for two tasks: (i) to quantify the disturbance effect on the system performance and (ii) to propose robustness solutions to minimize the disturbance effect, thus allowing the system to behave as in regular mode. In this paper, concerning with continuous wave conducted disturbances, which act as the most impacting external disturbing sources, both the tasks are addressed by considering both analytical modeling and experimental validations
Soft Sensors for Instrument Fault Accommodation in Semiactive Motorcycle Suspension Systems
No full textThis article describes the development and experimental verification of an instrument fault accommodation (IFA) scheme for front and rear suspension stroke sensors in motorcycles equipped with electronically controlled semiactive suspension systems. In particular, the IFA scheme is based on the use of nonlinear autoregressive with exogenous inputs (NARX) neural networks (NNs) employed as soft sensors for feeding the suspension control strategy back with measurement even in the presence of faults occurred on the sensors. Different NN architectures have been trained and tuned by considering real data acquired during several measurement campaigns. The performance has been compared with that of the well-known half-car model (HCM). Very satisfying results allow the soft sensor to be really integrated into fault-tolerant control systems. In experimental road tests, an implementation of the proposed IFA scheme on a low-cost microcontroller for automotive applications showed to be in real time. In this article, these experimental results are shown to prove the good performance of the IFA scheme in different motorcycle operating conditions
Analisi sperimentale delle prestazioni di modem in tecnologia power line per applicazioni domestiche
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