Artificial Neural Network Method for Fault Detection on …
WebNov 18, 2022 · The recognition results show that the EMD and Elman neural network is effective in railway gearbox fault diagnosis. This approach can be used as a useful tool for the rotating machinery fault
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Intelligent diagnosis of mechanical faults of in-wheel motor based …
WebJun 26, 2022 · Condition monitoring techniques provide vital data for operators to avoid unpredicted and unwanted stops of machines caused by faults. One of these techniques is vibration analysis, which is used for faults diagnosis and prognosis such as shaft bending, misalignment, lousy bearing, worn gears, unbalances of rotors, etc. Moreover, vibration …
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Research Article Real-Time Monitoring and Fault Diagnosis …
WebMar 15, 2021 · DOI: 10.1016/j.isatra.2021.03.015 Corpus ID: 233029126; Intelligent diagnosis of mechanical faults of in-wheel motor based on improved artificial hydrocarbon networks. @article{Xue2021IntelligentDO, title={Intelligent diagnosis of mechanical faults of in-wheel motor based on improved artificial hydrocarbon networks.}, author={Hongtao …
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Fault Diagnosis of a wheel Loader by Artificial Neural - INFONA
WebJan 30, 2023 · Aiming to address the problems of a low fault detection rate and poor diagnosis performance under different loads and noise environments, a rolling bearing fault diagnosis method based on switchable normalization and a deep convolutional neural network (SNDCNN) is proposed. The method effectively extracted the fault features from …
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A Fault Diagnosis Approach for the Hydraulic System by Artificial
Webwheel electric motor prototype was designed by C ¸ak r and Sabanovic for experimental purposes []. A fault diagnosis system was presented by Tashakori and Ektesabi to detect switch faults of three phases VSI (Voltage Source Inverter) driveofBLDCmotorwithaclosed-loopcontrolscheme[]. Ifedi et al. presented studies of a fault-tolerant concept for
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Fault Diagnosis of a wheel Loader by Artificial Neural Networks …
WebFault Diagnosis of a wheel Loader by Artificial Neural Networks and Fuzzy Logic Abstract:This paper employs both the technologies of neural network and fuzzy theory so that they can make up the deficiencies of each other.
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Ontology-Based Method for Fault Diagnosis of …
WebJan 30, 2023 · Aiming to address the problems of a low fault detection rate and poor diagnosis performance under different loads and noise environments, a rolling bearing fault diagnosis method based on switchable normalization and a deep convolutional neural network (SNDCNN) is proposed. The method effectively extracted the fault features from …
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Fault Diagnosis of a wheel Loader by Artificial Neural Networks …
WebThis paper employs both the technologies of neural network and fuzzy theory so that they can make up the deficiencies of each other. A hierarchy model, which employs a sub-ANN neural network deals with the tasks first then applies fuzzy treatment later, has been set up to fulfil the requirements of quick response, strong self-learning and clear expression …
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Fault diagnosis of an air-handling unit using artificial neural
Webthe artificial neural network method written in MATLAB were used. Different fault types were made to occur at different locations on transmission lines. Fault voltages and fault currents were taken and given as input to MATLAB for detection of the fault. The transmission lines of length 300Km were modeled in SimPowerSystems.
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Fault diagnosis on the wheels of a mobile robot using local model
WebThe specific steps are as follows: (1) Firstly, the loader is divided into six subsystems (power unit, transmission-braking system, steering system, hydraulic system, working device, and electrical system); then Bayesian network structure is established with "abnormal fault of a subsystem" as the leaf node.
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Machines | Free Full-Text | A Rolling Bearing Fault Diagnosis …
WebJan 16, 2021 · This study gives overall review for fault diagnosis using Artificial Intelligence. The experimental data is used for training and testing the Artificial Neural Network (ANN) to detect the fault automatically in MATLAB environment. The accuracy of ANN is found to be 94.27%. The results are in close agreement for the similar condition …
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Research Article Real-Time Monitoring and Fault Diagnosis …
WebNov 1, 1996 · @article{osti_392480, title = {Fault diagnosis of an air-handling unit using artificial neural networks}, author = {Lee, W Y and House, J M and Park, C and Kelly, G E}, abstractNote = {The objective of this study is to describe the application of artificial neural networks to the problem of fault diagnosis in an air-handling unit. . Initially, …
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Gearbox fault diagnosis based on artificial neural network and …
WebNov 18, 2022 · The recognition results show that the EMD and Elman neural network is effective in railway gearbox fault diagnosis. This approach can be used as a useful tool for the rotating machinery fault
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Table I from Fault Diagnosis of a wheel Loader by Artificial Neural
WebDOI: 10.1109/RAMECH.2006.252704 Corpus ID: 15194312; Fault Diagnosis of a wheel Loader by Artificial Neural Networks and Fuzzy Logic @article{Zhang2006FaultDO, title={Fault Diagnosis of a wheel Loader by Artificial Neural Networks and Fuzzy Logic}, author={Zheng Zhang and Xinyu Shao and Daoyuan Yu}, journal={2006 IEEE …
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Fault diagnosis of rolling element bearing based on artificial neural
Webthe artificial neural network method written in MATLAB were used. Different fault types were made to occur at different locations on transmission lines. Fault voltages and fault currents were taken and given as input to MATLAB for detection of the fault. The transmission lines of length 300Km were modeled in SimPowerSystems.
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Unbalance Rotor Parameters Detection Based on Artificial Neural …
WebNov 1, 1996 · @article{osti_392480, title = {Fault diagnosis of an air-handling unit using artificial neural networks}, author = {Lee, W Y and House, J M and Park, C and Kelly, G E}, abstractNote = {The objective of this study is to describe the application of artificial neural networks to the problem of fault diagnosis in an air-handling unit. . Initially, …
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Research on the application of artificial intelligence method in
WebJul 6, 2021 · The diagnosis of mechanical and electrical faults of induction motors (IMs) has been performed using artificial neural networks (ANN) for similar, interpolated and extrapolated operating speeds. The current and vibration signals of faulty and healthy IMs measured from a Machinery Fault Simulator are used in this work.
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Railway Track Fault Detection using Deep Neural Networks
WebMar 15, 2021 · This research proposes an automatic fault diagnosis system combined with variational mode decomposition (VMD) and residual neural network 101 (ResNet101) that unifies the pre-analysis, feature extraction, and health status recognition of motor fault signals under one framework to realize end-to-end intelligent fault diagnosis. Expand 3 …
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Intelligent diagnosis of mechanical faults of in-wheel motor based …
WebMay 1, 2014 · Based on artificial neural networks, a fault diagnosis approach for the hydraulic system was proposed in this paper. Normal state samples were used as the training data to develop a dynamic
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Fault Diagnosis of a wheel Loader by Artificial Neural Networks …
WebFault Diagnosis of a wheel Loader by Artificial Neural Networks and Fuzzy Logic Abstract:This paper employs both the technologies of neural network and fuzzy theory so that they can make up the deficiencies of each other.
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