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With the increase in integration density in FPGA devices, the possibility of interconnect faults are increasing. Various fault diagnosis approach were observed for the detection of faults in FPGA, through the conventional ATE. These devices are designed for the detection of logical faults occurring in the operation of the FPGA. The ATE devices are currently designed to diagnosis the FPGA operation...
Boundary scan test is a standard measurability design technology, and it is more convenient for the measurement of complex circuits. Based on the basic principle of boundary scan and one system's CPU board, the boundary scan design and configuration of the system's control circuit are presented and validated. According to the experiments of the designed CPU, the circuit can realize the functions of...
Full ceramic bearings are considered the first step towards full ceramic, oil free engines in the future. No research on full ceramic bearing fault diagnostics using acoustic emission (AE) sensors has been reported. Unlike their steel counterparts, AE fault characteristic features of full ceramic bearings and effective signal processing methods for extracting these characteristic features have not...
Fisher discriminant analysis (FDA) is a widely used dimensionality reduction technique for fault diagnosis in industry process, whereas it is difficult to capture nonlinear relationship. Kernel FDA (KFDA) is nonlinear extension of FDA developed in the last ten years. Unfortunately, small sample size (3S) problem will be arisen in both FDA and KFDA. Regularized FDA (RFDA) is an effective solution for...
This paper introduces a method for the fault diagnosis of a rotor system. For a vibration signal of a rotor system fault, an AR model is established first, and then the related parameter and amplitude spectrum of this mode can be obtained, etc. The experiments show the above-mentioned method can effectively diagnose the fault of a rotor system.
The paper contributes to system level diagnostics by two new diagnostics algorithms for faulty units identification in regular computing systems from testing results. The developed algorithms are based on the symmetric diagnostics model at system level. Effectiveness and complexity of the implemented algorithms were evaluated by experiments over several regular computing architectures (hypercube,...
In a Wireless Sensor Network (WSN) where the sensors raise alarms in response to anomalous events, we consider the problem of detecting false alarms (i.e. false positives) by using a system-level diagnosis approach. In particular, we assume that a set of t sensors in a geographic neighborhood generate the alarm, and the sink issues to the WSN a self test task that involves a number of reciprocal tests...
The Piles are abroad in various engineering field as common used foundation format and make certain social and economic benefits. However, with the extensive application of the pile foundation, problems brought by the quality of pile are becoming more and more Prevalent. On the foundation of sufficiently presentation wavelet theory, this paper applied wavelets to erase noise of foundation pile signal,...
There are so many redundant and disordered information in fault diagnosis, which influence the efficiency and real-time seriously. Rough set has much more superiority of processing incomplete and incorrect information, which could resolve this problem. The paper introduces the decision table and Discernibility Matrix and then analyses the attributive reduction algorithm of decision table based on...
This article presents the implementation of an embedded induction motor test and analysis system based on ARM and Linux. This system adopts the ARM microprocessor - S3C2410X - as the core of the hardware and the Linux as the embedded operating system. It can be used to sample and acquire the currents, voltages, and the rate of the tested induction motor, and with some extension software, the system...
It is an important approach that BIT(built-in test)can be used to improve the diagnosis ability of weapon system along with the weapon equip complexity increasing. And it is put forward that self diagnosis technology based on BIT is significant by analyzing the internal property of BIT and combining the correlative studies. Then detailedly analyzes the principle of self diagnosis system based on BIT...
This paper presents a modified Hop field neural network (HopfieldNN) for solving the PMC-based system-level fault diagnosis problem of multiprocessor systems which aims at identifying the set of faulty processors. The PMC-based diagnosis model assumes that each processor is tested by a subset of the other processors, and that at most a bounded subset of these processors can permanently fail at the...
In this paper the capability of Relevance Vector Machines to perform multiclass classification has been illustrated. It has been demonstrated how faults in an analog circuit can be diagnosed by analyzing these faults as a multiclass machine learning problem. A simple first order Op-amp RC circuit validates our methodology which can be further applied to more complex analog circuits employing a larger...
Up to now, many condition diagnosis methods based on the traditional artificial intelligence, such as neural networks (NN), genetic algorithms (GA), etc., have been proposed in the field of condition diagnosis for rotating machinery. These methods depend on the assumption that the number of samples tends to infinity, and also require a large amount of training samples and highly sensitive symptom...
Automated distribution fault diagnosis generally learns from historical faults and only those relevant to the fault events under study should be investigated. From the spatial perspective, using fault events within a small region is preferred in order to focus on the local fault characteristics. However, a small region may not provide sufficient events for an algorithm to make proper inference about...
The increasing device count and design complexity are posing significant challenges to post-silicon validation. Bug diagnosis is the most difficult step during post-silicon validation. Limited reproducibility and low testing speeds are common limitations in current testing techniques. Moreover, low observability defies full-speed testing approaches. Modern solutions like on-chip trace buffers alleviate...
This paper proposes an optimized test case design procedure for quality device inspection based on a reduced set of faults. The selection of the investigated faults is based on a modeling device usage scheme and the impact of the faults on device quality.
High-grade numerical control machines have gradually become the major machining equipments in our Chinese modern manufacture and the scale of its manufacturing system is also precise and integrated and intelligentized day by day, in order to ensure the machine to achieve its function effectively, research on test will be needed to do to analysis the fault symptoms and reasons which effect machine...
Literature indicates that 20% of a program's code is responsible for 80% of the faults, and 50-90% of the field failures are rediscoveries of previous faults. Despite this, identification of faulty code can consume 30-40% time of error correction. Previous fault-discovery techniques focusing on field failures either require many pass-fail traces, discover only crashing failures, or identify faulty...
This paper describes how software FMEA can be automated both for low-level languages intended for safety critical embedded systems, and also for model-driven software developments. It is possible for a computer to achieve a qualitative analysis of software based on tracing dependencies through a body of code. This can reveal the propagation of any failure in the software, whatever the cause of the...
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