Pasquale Arpaia

Pasquale Arpaia

Pasquale Arpaia is professor of instrumentation and measurements at University of Naples Federico II (Italy) and team leader at European Organization for Nuclear Research (CERN). In last years, he was scientific responsible of more than 30 awarded research projects in cooperation with industry, with related patents and international licences, and funded four academic spin off companies.

Flexible Test Automation: A Software Framework for Easily Developing Measurement Applications

Flexible Test Automation
Print Price: 
$49.95
E-book Price: 
$29.95
In Stock Date: 
12/31/2014

Pasquale Arpaia
Vitaliano Inglese
Ernesto De Matteis

Modern automated industrial systems depend on accurate and prompt monitoring for equipment and system performance, along with determining pending faults and maintenance issues. This new book will offer the newest approaches to developing and writing the software algorithms that underlie automated monitoring.

High-Repeatability Data Acquisition Systems for Pulsed Power Converters

Print Price: 
$49.95
E-book Price: 
$29.95
In Stock Date: 
10/15/2017

Pasquale Arpaia, Carlo Baccigalupi, Miguel C. Bastos, and Michele Martino

This book addresses several issues related to the metrological characterization of high-performance pulsed power converters. In the introduction a background and state-of-the-art on measurement systems for highperformance power converters are presented. In industrial applications of high performance power converter metrology, specifications are often given in terms of worst-case uncertainty (WCU). For this reason, an analytical model for predicting the WCU of a measurement system is discussed and detailed for instruments affected by Gaussian noise.

Cryogenic Systems: Advanced Monitoring, Fault Diagnostics, and Predictive Maintenance

Print Price: 
$49.95
E-book Price: 
$29.95
In Stock Date: 
10/23/2017

Pasquale Arpaia, Mario Girone, Vitaliano Inglese, and Marco Pezzetti

In this book, advanced methods and techniques of monitoring, fault diagnostics, and predictive maintenance for cryogenics are illustrated. In Part I on Background, mainstreams in the related research are reviewed. In Part II of Methods, for monitoring helium distribution and consumption in cryogenic systems for particle accelerators, a virtual flowmeter is presented. Then, for fault diagnostics, two methods, for fault detection on a compressor, and for distributed diagnostics based on a micro-genetic algorithm, are described.