Communication Subsystems for Emerging Wireless Technologies

The paper describes a multi-disciplinary design of modern communication systems. The design starts with the analysis of a system in order to define requirements on its individual components. The design exploits proper models of communication channels to adapt the systems to expected transmission conditions. Input filtering of signals both in the frequency domain and in the spatial domain is ensured by a properly designed antenna. Further signal processing (amplification and further filtering) is done by electronics circuits. Finally, signal processing techniques are applied to yield information about current properties of frequency spectrum and to distribute the transmission over free subcarrier channels

Automatic programming methodologies for electronic hardware fault monitoring

This paper presents three variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of electronic circuits can be best performed by the Stressor - susceptibility interaction model. A circuit or a system is considered to be failed once the stressor has exceeded the susceptibility limits. For on-line prediction, validated stressor vectors may be obtained by direct measurements or sensors, which after pre-processing and standardization are fed into the GP models. Empirical results are compared with artificial neural networks trained using backpropagation algorithm and classification and regression trees. The performance of the proposed method is evaluated by comparing the experiment results with the actual failure model values. The developed model reveals that GP could play an important role for future fault monitoring systems.This research was supported by the International Joint Research Grant of the IITA (Institute of Information Technology Assessment) foreign professor invitation program of the MIC (Ministry of Information and Communication), Korea

Intelligent Fault Detection and Identification System for Analog Electronic Circuits Based on Fuzzy Logic Classifier

Analog electronic circuits play an essential role in many industrial applications and control systems. The traditional way of diagnosing failures in such circuits can be an inaccurate and time-consuming process; therefore, it can affect the industrial outcome negatively. In this paper, an intelligent fault diagnosis and identification approach for analog electronic circuits is proposed and investigated. The proposed method relies on a simple statistical analysis approach of the frequency response of the analog circuit and a simple rule-based fuzzy logic classification model to detect and identify the faulty component in the circuit. The proposed approach is tested and evaluated using a commonly used low-pass filter circuit. The test result of the presented approach shows that it can identify the fault and detect the faulty component in the circuit with an average of 98% F-score accuracy. The proposed approach shows comparable performance to more intricate related works

Measurements, Models, Systems and Design

531 s.

Assessing the effectiveness of different test approaches for power devices in a PCB

Power electronic systems employing Printed Circuit Boards (PCBs) are broadly used in many applications, including some safety-critical ones. Several standards (e.g., ISO26262 for the automotive sector and DO-178 for avionics) mandate the adoption of effective test procedures for all electronic systems. However, the metrics to be used to compute the effectiveness of the adopted test procedures are not so clearly defined for power devices and systems. In the last years, some commercial fault simulation tools (e.g., DefectSim by Mentor Graphics and TestMAX by Synopsys) for analog circuits have been introduced, together with some new fault models. With these new tools, systematic analog fault simulation finally became practically feasible. The aim of this paper is twofold: first, we propose a method to extend the usage of the new analog fault models to power devices, thus allowing to compute a Fault Coverage figure for a given test. Secondly, we adopt the method on a case study, for which we quantitatively evaluate the effectiveness of some test procedures commonly used at the PCB level for the detection of faults inside power devices. A typical Power Supply Unit (PSU) used in industrial products, including power transistors and power diodes, is considered. The analysis of the gathered results shows that using the new method we can identify the main points of strength / weakness of the different test solutions in a quantitative and deterministic manner, and pinpoint the faults escaping to each one

On the production testing of analog and digital circuits

This thesis focuses on the production testing of Analog and Digital circuits. First, it addresses the issue of finding a high coverage minimum test set for the second generation current conveyor as this was not tackled before. The circuit under test is used in active capacitance multipliers, V-I scalar circuits, Biquadratic filters and many other applications. This circuit is often used to implement voltage followers, current followers and voltage to current converters. Five faults are assumed per transistor. It is shown that, to obtain 100% fault coverage, the CCII has to be operated in voltage to current converter mode. Only two test values are required to obtain this fault coverage. Additionally, the thesis focuses on the production testing of Memristor Ratioed Logic (MRL) gates because this was not studied before. MRL is a family that uses memristors along with CMOS inverters to design logic gates. Two-input NAND and NOR gates are investigated using the stuck at fault model for the memristors and the five-fault model for the transistors. It is shown that in order to obtain full coverage for the MRL NAND and NOR gates, two solutions are proposed. The first is the usage of scaled input voltages to prevent the output from falling in the undefined region. The second proposed solution is changing the switching threshold VM of the CMOS inverter. In addition, it is shown that test speed and order should be taken into consideration. It is proven that three ordered test vectors are needed for full coverage in MRL NAND and NOR gates, which is different from the 100% coverage test set in the conventional NAND and NOR CMOS designs

Deep Space Network information system architecture study

The purpose of this article is to describe an architecture for the Deep Space Network (DSN) information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990s. The study scope is defined to be from the front-end areas at the antennas to the end users (spacecraft teams, principal investigators, archival storage systems, and non-NASA partners). The architectural vision provides guidance for major DSN implementation efforts during the next decade. A strong motivation for the study is an expected dramatic improvement in information-systems technologies, such as the following: computer processing, automation technology (including knowledge-based systems), networking and data transport, software and hardware engineering, and human-interface technology. The proposed Ground Information System has the following major features: unified architecture from the front-end area to the end user; open-systems standards to achieve interoperability; DSN production of level 0 data; delivery of level 0 data from the Deep Space Communications Complex, if desired; dedicated telemetry processors for each receiver; security against unauthorized access and errors; and highly automated monitor and control

A collection of fuzzy logic-based tools for the automated design, modelling and test of analog circuits

We have developed a collection of tools for the design, modeling, and test of analog circuits. Sharing a common fuzzy-logic based framework, the tools are part of FASY (Fuzzy-Logic-Based Analog Synthesis), an analog design package developed at the University of Seville. The first tool uses fuzzy logic for topology selection of analog cells. It follows decision rules directly entered by a human expert or automatically generated from its experience with earlier designs. Second, a performance-modeling tool provides a qualitative description of a circuit's behavior. Alternatively, it can use a learning process to accurately model circuit performance. Finally, an analog testing tool uses a fuzzy-neuron classifier to detect and classify faults in analog circuits