13 papers · ranked by Valyu relevance
Nargiz Humbatova, Jinhan Kim, Gunel Jahangirova, Shin Yoo + 1 more
'Paolo Tonella'] With the increased popularity of Deep Neural Networks (DNNs), increases also the need for tools to assist developers in the DNN implementation, testing and debugging process. Several approaches have been proposed that automatically analyse and localise potential faults in DNNs under test. In this work…
A. H. Al-Mohammed, M. A. Abido
This paper presents a comprehensive survey on transmission and distribution fault location algorithms that utilize synchronized measurements. Algorithms based on two-end synchronized measurements and fault location algorithms on three-terminal and multiterminal lines are reviewed. Series capacitors equipped with metal…
Vincent Nsed Ogar, Sajjad Hussain, Kelum A.A. Gamage
One of the most critical concerns in power system reliability is the timely and accurate detection of transmission line faults. Therefore, accurate detection and localisation of these faults are necessary to avert system collapse. This paper focuses on using Artificial Neural Networks in faults detection and…
Jiang Wu, Zhuo Zhang, Jianjun Xu, Jiayu He + 4 more
'Xiankai Meng' 'Panpan Li' 'Lalit Chandra Saikia'] In an error-prone development process, the ability to localize faults is a crucial one. Generally speaking, detecting and repairing errant behavior at an early stage of the development cycle considerably reduces costs and development time. The debugging of the Verilog…
Heling Cao, Fei Wang, Miaolei Deng, Lei Li + 1 more
Background Spectrum-based Fault localization have proven to be useful in the process of software testing and debugging. However, how to improve the effectiveness of software fault localization has always been a research hot spot in the field of software engineering. Dynamic slicing can extract program dependencies…
Hui He, Dongyan Zhang, Min Liu, Weizhe Zhang + 1 more
Software security defects have a serious impact on the software quality and reliability. It is a major hidden danger for the operation of a system that a software system has some security flaws. When the scale of the software increases, its vulnerability has becoming much more difficult to find out. Once these…
Abdulaziz Alhumam, Naveen Chilamkurti
The automatic localization of software faults plays a critical role in assisting software professionals in fixing problems quickly. Despite various existing models for fault tolerance based on static features, localization is still challenging. By considering the dynamic features, the capabilities of the fault…
Fabian Barras, Nicolas Brantut
Earthquakes are produced by the propagation of rapid slip along tectonic faults. The propagation dynamics is governed by a balance between elastic stored energy in the surrounding rock, and dissipated energy at the propagating tip of the slipping patch. Energy dissipation is dictated by the mechanical behaviour of the…
Rongyu Liang, Feng Liu, Jie Liu
A small fault in a large communication network may cause abrupt and large alarms, making the localization of the root cause of failure a difficult task. Traditionally, fault localization is carried out by an operator who uses alarms in alarm lists; however, fault localization process complexity needs to be addressed…
Jiaju Wu, Chuan Chen, Yongqi Ma, Ze Xiu + 4 more
'Shihao Song' 'Chunhua Yang'] Most of the failures during the actual operation of equipment are caused by improper human operation, tools, spare parts, and environmental factors. These faults are routine. Conventional faults have been validated during equipment development, testing, identification, and maintenance…
Qi Chen, Wenfeng Tian, Wuwei Chen, Qadeer Ahmed + 1 more
The anti-lock braking system (ABS) is an essential part in ensuring safe driving in vehicles. The Security of onboard safety systems is very important. In order to monitor the functions of ABS and avoid any malfunction, a model-based methodology with respect to structural analysis is employed in this paper to achieve…
Yahia Kourd, Dimitri Lefebvre, Noureddine Guersi
This paper presents a new FDI technique for fault detection and isolation in unknown nonlinear systems. The objective of the research is to construct and analyze residuals by means of artificial intelligence and probabilistic methods. Artificial neural networks are first used for modeling issues. Neural networks models…
Bahareh Kiamanesh, Ali Behravan, Roman Obermaisser, Jongmyon Kim + 1 more
'Farzin Piltan'] Heating, ventilation, and air-conditioning (HVAC) systems are large-scale distributed systems that can be subject to multiple faults affecting the electronics, sensors, and actuators, potentially causing high energy consumption, occupant discomfort, degraded indoor air quality and risk to critical…