Results 21 to 30 of about 336,417 (303)
Observer-biased bearing condition monitoring: from fault detection to multi-fault classification [PDF]
, 2016 Bearings are simultaneously a fundamental component and one of the principal causes of failure in rotary machinery. The work focuses on the employment of fuzzy clustering for bearing condition monitoring, i.e., fault detection and classification.
Cabrera, Diego +6 more
core +1 more source
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
doaj +1 more source
Machine Fault Classification Using Hamiltonian Neural Networks
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023 A new approach is introduced to classify faults in rotating machinery based on the total energy signature estimated from sensor measurements. The overall goal is to go beyond using black-box models and incorporate additional physical constraints that govern the behavior of mechanical systems.
Shen, Jeremy +3 more
openaire +2 more sources
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
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
Selection of sensors by a new methodology coupling a classification technique and entropy criteria [PDF]
, 2007 Complex industrial processes invest a lot of money in sensors and automation devices to monitor and supervise the process in order to guarantee the production quality and the plant and operators safety.
Cabassud, Michel +6 more
core +2 more sources
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
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
Fault tolerant parallel pattern recognition [PDF]
, 2000 The general capabilities of fault tolerant computations in one-way and two-way linear cellular arrays are investigated in terms of pattern recognition.
Kutrib, Martin, Löwe, Jan-Thomas
core +1 more source