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Do Automatically Generated Unit Tests Find Real Faults? An Empirical Study of Effectiveness and Challenges (T) Open
timestamp: Sat, 16 Sep 2017 01:00:00 +0200 biburl: https://dblp.org/rec/bib/conf/kbse/ShamshiriJRFMA15 bibsource: dblp computer science bibliography, https://dblp.org
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SIFA: Exploiting Ineffective Fault Inductions on Symmetric Cryptography Open
Since the seminal work of Boneh et al., the threat of fault attacks has been widely known and techniques for fault attacks and countermeasures have been studied extensively. The vast majority of the literature on fault attacks focuses on t…
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An Industrial Evaluation of Unit Test Generation: Finding Real Faults in a Financial Application Open
peer reviewed
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Wind Turbine Fault Detection and Identification Through PCA-Based Optimal Variable Selection Open
An effective condition monitoring system of wind turbines generally requires installation of a high number of sensors and use of a high sampling frequency in particular for monitoring of the electrical components within a turbine, resultin…
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Two-Terminal Fault Location Method of Distribution Network Based on Adaptive Convolution Neural Network Open
When a single-phase ground fault occurs in a distribution network, it is generally allowed to operate with faults for one to two hours, which may lead to further development of the fault and even threaten the safe operation of the power sy…
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Review and Performance Evaluation of Photovoltaic Array Fault Detection and Diagnosis Techniques Open
The environmentally clean nature of solar photovoltaic (PV) technology causes PV power generation to be embraced by all countries across the globe. Consequently, installation and utilization of PV power systems have seen much growth in rec…
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A survey of fault prediction and location methods in electrical energy distribution networks Open
One of the main factors that disrupt reliability and stop energy provision is the fault occurrence in distribution networks. Thus, accurate and fast fault prediction and location in distribution networks are essential for increasing reliab…
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Seamless Fault-Tolerant Operation of a Modular Multilevel Converter With Switch Open-Circuit Fault Diagnosis in a Distributed Control Architecture Open
Modularity and high reliability from redundancy are the two attractive advantages of modular multilevel converters (MMCs). This paper elaborates a switch open-circuit fault diagnosis and a fault-tolerant operation scheme for MMCs with dist…
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Performance Comparison of Impedance-Based Fault Location Methods for Transmission Line Open
Electric transmission lines play a very essential role in transmitting power energy from generation centers to consumption regions. They can be exposed to fault occurrences due to various reasons, such as lightning strikes, malfunction of …
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Comprehensive Modelling and and Experimental Testing of Fault Detection and Management of a Non-Redundant Fault-Tolerant VSI Open
This paper presents an investigation and a comprehensive analysis on fault operations in a conventional three-phase voltage source inverter. After an introductory section dealing with power converter reliability and fault analysis issues i…
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Distributed Fault-Tolerant Control of Large-Scale Systems: An Active Fault Diagnosis Approach Open
The paper proposes a methodology to effectively address the increasingly important problem of distributed faulttolerant control for large-scale interconnected systems. The approach dealt with combines, in a holistic way, a distributed faul…
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Fault Characteristics of Distributed Solar Generation Open
Inverter-based distributed energy resources (DERs) are characterized with low fault current and negligible amount of negative and zero sequence currents. Understanding DER's fault characteristics is important for fault analysis and protect…
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Comparative Analysis of Photovoltaic Faults and Performance Evaluation of its Detection Techniques Open
Faults detection and analysis in PV system are considered critical for ensuring safety and increasing output power of PV arrays. PV faults do not only reduce output power and efficiency but also lessen the working life time of a system. Mo…
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Hybrid Deep Learning Model for Fault Detection and Classification of Grid-Connected Photovoltaic System Open
Effective fault detection and classification play essential roles in reducing the hazards such as electric shocks and fire in photovoltaic (PV) systems. However, the issues of interest in fault detection and classification for PV systems r…
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k-NN based fault detection and classification methods for power transmission systems Open
This paper deals with two new methods, based on k-NN algorithm, for fault detection and classification in distance protection. In these methods, by finding the distance between each sample and its fifth nearest neighbor in a pre-default wi…
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A testing-coverage software reliability model considering fault removal efficiency and error generation Open
In this paper, we propose a software reliability model that considers not only error generation but also fault removal efficiency combined with testing coverage information based on a nonhomogeneous Poisson process (NHPP). During the past …
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Test case minimization approach using fault detection and combinatorial optimization techniques for configuration-aware structural testing Open
This paper presents a technique to minimize the number of test cases in configuration-aware structural testing. Combinatorial optimization is used first to generate an optimized test suite by sampling the input configuration. Second, for f…
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Fault Handling in Industry 4.0: Definition, Process and Applications Open
The increase of productivity and decrease of production loss is an important goal for modern industry to stay economically competitive. For that, efficient fault management and quick amendment of faults in production lines are needed. The …
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Fault Detection and Classification with Optimization Techniques for a Three-Phase Single-Inverter Circuit Open
Fault detection and isolation are related to system monitoring, identifying when a fault has occurred, and determining the type of fault and its location. Fault detection is utilized to determine whether a problem has occurred within a cer…
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A novel single phase grounding fault protection scheme without threshold setting for neutral ineffectively earthed power systems Open
The setting values of thresholds for fault feature parameters are critical in all kinds of protection schemes. When the detected feature parameter value exceeds the setting value, the protection will trip. However, the setting value based …
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A fast and scalable fault injection framework to evaluate multi/many-core soft error reliability Open
Increasing chip power densities allied to the continuous technology shrink is making emerging multiprocessor embedded systems more vulnerable to soft errors. Due the high cost and design time inherent to board-based fault injection approac…
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Simultaneous Localization of Software Faults Based on Complex Network Theory Open
Effective debugging is necessary for producing high quality and reliable software. Fault localization plays a vital role in the debugging process. However, fault localization is the most tedious and expensive activity in program debugging,…
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A DFT-ED based approach for detection and classification of faults in electric power transmission networks Open
This paper proposes a fast and reliable fault detection and classification scheme for electric power transmission networks using the estimated Euclidean distance between successive samples of actuating signal. In the proposed method, magni…
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Hybrid classifier for fault location in active distribution networks Open
This paper presents a fast hybrid fault location method for active distribution networks with distributed generation (DG) and microgrids. The method uses the voltage and current data from the measurement points at the main substation, and …
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Simulink fault localization: an iterative statistical debugging approach Open
Summary Debugging Simulink models presents a significant challenge in the embedded industry. This paper proposes SimFL , a fault localization approach for Simulink models by combining statistical debugging and dynamic model slicing. Simuli…
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Fault Location and Classification for Distribution Systems Based on Deep Graph Learning Methods Open
Accurate and timely fault diagnosis is of great significance for the safe operation and power supply reliability of distribution systems. However, traditional intelligent methods limit the use of the physical structures and data informatio…
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Intelligent Fault Detection and Classification Schemes for Smart Grids Based on Deep Neural Networks Open
Effective fault detection, classification, and localization are vital for smart grid self-healing and fault mitigation. Deep learning has the capability to autonomously extract fault characteristics and discern fault categories from the th…
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Fault Detection and Exclusion for Tightly Coupled GNSS/INS System Considering Fault in State Prediction Open
To ensure navigation integrity for safety-critical applications, this paper proposes an efficient Fault Detection and Exclusion (FDE) scheme for tightly coupled navigation system of Global Navigation Satellite Systems (GNSS) and Inertial N…
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A Hybrid Fault-Tolerant LEON3 Soft Core Processor Implemented in Low-End SRAM FPGA Open
In this work we implemented a hybrid fault-tolerant LEON3 soft-core processor in a low-end FPGA (Artix-7) and evaluated its error detection capabilities through neutron irradiation and fault injection in an incremental manner. The error mi…
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Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra Open
Algorithm based fault tolerance (ABFT) attracts renewed interest for its extremely low overhead and good scalability. However the fault model used to design ABFT has been either abstract, simplistic, or both, leaving a gap between what occ…