Results 21 to 30 of about 35,187 (315)

A Sparsity-Assisted Fault Diagnosis Method Based on Nonconvex Sparse Regularization

IEEE Access, 2021
Sparse representation theory can be adopted for fault feature extraction and classification. Inspired by these two capabilities of sparse representation theory, this paper proposes a novel collaborative sparsity-assisted fault diagnosis (CSFD) method ...
Yijie Niu, Jiyou Fei
doaj   +1 more source

Model-Based Fault Classification for Automotive Software

, 2022
Intensive testing using model-based approaches is the standard way of demonstrating the correctness of automotive software. Unfortunately, state-of-the-art techniques leave a crucial and labor intensive task to the test engineer: identifying bugs in failing tests. Our contribution is a model-based classification algorithm for failing tests that assists
Mike Becker, Roland Meyer 0001, Tobias Runge, Ina Schaefer, Sören van der Wall, Sebastian Wolff 0001   +5 more
openaire   +4 more sources

Applying wavelet entropy principle in fault classification [PDF]

International Journal of Electrical Power & Energy Systems, 2009
تلعب القدرة على اكتشاف نوع الخطأ وتصنيفه دورًا كبيرًا في حماية نظام الطاقة. يجب أن يكون هذا الإجراء دقيقًا دون استهلاك للوقت. في هذه الورقة، تم تنفيذ الكشف عن نوع الخطأ باستخدام تحليل المويجة جنبًا إلى جنب مع مبدأ إنتروبيا المويجة. تتم محاكاة نظام الطاقة باستخدام PSCAD/EMTDC. تمت دراسة أنواع مختلفة من الأعطال للحصول على أشكال موجية مختلفة للتيار.
S. El Safty, Amany El-Zonkoly
openaire   +2 more sources

: Novel prism pattern network for accurate fault classification using engine sound signals [PDF]

, 2023
Engines are prone to various types of faults, and it is crucial to detect and indeed classify them accurately. However, manual fault type detection is time-consuming and error-prone.
Barua, Prabal Datta, Tuncer, Turker, Gokhan Gulhan, Sengul Dogan, Oliver Faust, Dogan, Sengul, Faust, Oliver, Gulhan, Gokhan, U. Rajendra Acharya, Sahin, Sakir Engin, Prabal Datta Barua, Sakir Engin Sahin, Acharya, U. Rajendra, Turker Tuncer   +13 more
core   +1 more source

Protection of parallel transmission lines including inter-circuit faults using Naïve Bayes classifier

Alexandria Engineering Journal, 2016
Parallel transmission lines are difficult to protect due to mutual coupling between circuits. This paper proposes a Naïve Bayes classifier (NBC) based fault detection and classification technique for protection of parallel transmission line involving ...
Aleena Swetapadma, Anamika Yadav
doaj   +1 more source

Classification of fault breccias and related fault rocks

Geological Magazine, 2008
AbstractDespite extensive research on fault rocks, and on their commercial importance, there is no non-genetic classification of fault breccias that can easily be applied in the field. The present criterion for recognizing fault breccia as having no ‘primary cohesion’ is often difficult to assess. Instead we propose that fault breccia should be defined,
N. H. WOODCOCK, K. MORT
openaire   +2 more sources

Real-Time Fault Classification for Plasma Processes [PDF]

Sensors, 2011
Plasma process tools, which usually cost several millions of US dollars, are often used in the semiconductor fabrication etching process. If the plasma process is halted due to some process fault, the productivity will be reduced and the cost will increase. In order to maximize the product/wafer yield and tool productivity, a timely and effective fault
Ryan Yang, Rongshun Chen
openaire   +3 more sources

An Application to Transient Current Signal based Induction Motor Fault Diagnosis of Fourier-Bessel Expansion and Simplified Fuzzy ARTMAP [PDF]

, 2013
The start-up transient signals have been widely used for fault diagnosis of induction motor because they can reveal early defects in the development process, which are not easily detected with the signals in the steady state operation. However, transient
Ball, Andrew, Tran, Van Tung, Choi, Byeong Keun, Al Thobiani, Faisal, AlThobiani, Faisal   +4 more
core   +1 more source

Design of remote fault prediction system for coal preparation equipments

Gong-kuang zidonghua, 2019
In view of problems existing in current coal preparation equipments fault prediction, such as equipments monitoring data conversion method was not unified, single fault classification model cannot meet requirements of multiple fault types prediction, and
FU Xiang, WANG Ranfeng, PANG Liang
doaj   +1 more source

Generator Fault Classification Method Based on Multi-Source Information Fusion Naive Bayes Classification Algorithm

Energies, 2022
The existing motor fault classification methods mostly use sensors to detect a single fault feature, which makes it difficult to ensure high diagnostic accuracy.
Yi Wang, Yuhao Huang, Kai Yang, Zhihan Chen, Cheng Luo   +4 more
doaj   +1 more source