Results 21 to 30 of about 2,331,494 (299)

Fault detection and classification with the rebmix R package

Computers & Industrial Engineering, 2023
Fault detection and classification is an important part of assessing the structural and system health status. The classification and detection of faults and faulty units is mostly done with statistical methods. After the data are measured and collected, the use of statistical software is necessary.
Marko Nagode, Branislav Panic, Jernej Klemenc, Simon Oman   +3 more
openaire   +3 more sources

A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA-SVM Based on Vibration Signal Analysis

Shock and Vibration, 2019
Fault diagnosis of rotating machinery mainly includes fault feature extraction and fault classification. Vibration signal from the operation of machinery usually could help diagnosing the operational state of equipment.
Lei You, Wenjie Fan, Zongwen Li, Ying Liang, Miao Fang, Jin Wang   +5 more
doaj   +1 more source

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

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

Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]

, 2009
In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk, Gu, Fengshou, Ball, Andrew, Al-Ani, A, Yang, Bo Suk, Tran, Van Tung, Al-Jumaily, A, Khushaba, RN   +7 more
core   +1 more source

Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems [PDF]

, 2010
This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Yang, B. S., Tran, Van Tung, Tran, V. T.   +3 more
core   +4 more sources

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   +5 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

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

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