Results 21 to 30 of about 35,178 (215)
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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Real-time fault diagnosis and fault-tolerant control [PDF]
, 2015 This "Special Section on Real-Time Fault Diagnosis and Fault-Tolerant Control" of the IEEE Transactions on Industrial Electronics is motivated to provide a forum for academic and industrial communities to report recent theoretic/application results in ...
Cecati, Carlo +2 more
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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 +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 +13 more
core +1 more source
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
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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 +4 more
core +1 more source
Fault estimation and fault-tolerant control for discrete-time dynamic systems [PDF]
, 2015 In this paper, a novel discrete-time estimator is proposed, which is employed for simultaneous estimation of system states, and actuator/sensor faults in a discrete-time dynamic system.
Gao, Zhiwei
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