To create a combinational ATPG model for an acyclic sequential circuit, all unbalanced fanouts, i.e., fanouts reconverging with different sequential depths, are moved toward primary inputs using a retiming-like transformation. All flipflops are then shorted and unbalanced primary input fanouts are split as additional primary inputs. A combinational test vector for a fault in this model is conve...

Many practical applications of system diagnosis require the credible identi cation of multiple faults of nonlinear components and sensors in quantitative measures. However, the state of the art of diagnosis technique is considered to be still insu cient to meet these severe requirements. The approach of diagnosis using the traditional linear system identi cation theory can diagnose the disturbe...

Based on Kalman filtering, multi-sensor navigation systems, such as the integrated GPS/INS system, are widely accepted to enhance the navigation solution for various applications. However, such integrated systems do not always provide robust and stable navigation solutions due to unmodelled measurements and system dynamic errors, such as faults that degrade the performance of Kalman filtering f...

This paper examines the strength of CLEFIA against multiple bytes differential fault attack. Firstly, it presents the principle of CLEFIA algorithm and differential fault analysis; then, according to injecting faults into the r,r1,r-2 CLEFIA round three conditions, proposes three fault models and corresponding analysis methods; finally, all of the fault model and analysis methods above have bee...

This paper presents a new approach to multiple fault diagnosis for sheet metal fixtures using designated component analysis (DCA). DCA first defines a set of patterns based on product/process information, then finds the significance of these patterns from the measurement data and maps them to a particular set of faults. Existing diagnostics methods has been mainly developed for rigid-body-based...

On Compact Test Sets for Multiple Stuck-At Faults for Large Circuits p. 20 Identification of Feedback Bridging Faults with Oscillation p. 25 Delay Fault and Memory Test Defining SRAM Resistive Defects and Their Simulation Stimuli p. 33 Vector-Based Functional Fault Models for Delay Faults p. 41 Easily Path Delay Fault Testable Non-Restoring Cellular Array Dividers p. 47 March Tests for Word-Ori...

In this paper, we propose two fault-diagnosis methods for improving multiple-fault diagnosis resolution. The first method, based on the principle of single-fault activation and single-output observation, employs a new circuit transformation technique in conjunction with the use of a special type of diagnostic test pattern, named single-observation single-location-at-a-time (SO-SLAT) pattern. Gi...

A comparison of fault diagnosis systems based on Dynamic Principal Component Analysis (DPCA) method and Artificial Neural Networks (ANN) under the same experimental data is presented. Both approaches are process history based methods which do not assume any form of model structure, and rely only on process historical data. The comparative analysis shows the online performance of both approaches...

This study focuses on passive fault-tolerant control for a class of uncertain nonlinear discrete-time systems subject to multiple intermittent faults. The considered intermittent faults are assumed to be additive ones in sensors and/or actuators. To achieve fault-tolerant control, a dynamic output-feedback controller is designed such that the closed-loop system remains stable and satisfies acce...

This paper presents an approach for the maximal diagnosis of all faults (stuck-at, open and short) in the interconnect of a random access memory (RAM); and the interconnect includes data and address lines. This approach accomplishes maximal diagnosis under a complex model in which the lines in the interconnect of the RAM can be affected by multiple faults. Maximal diagnosis consists of detectio...