Results 21 to 30 of about 2,214,988 (289)
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 +3 more
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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 +5 more
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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
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Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
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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
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 +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
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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 +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
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Rough set based gas turbine fault isolation study [PDF]
, 2010 Gas path fault isolation is one of the key techniques in Engine Health Management systems. In order to accomplish gas path fault isolation successfully for a gas turbine engine, both an accurate off-design performance model and an effective fault ...
Wang, Lihui.
core +7 more sources