Search Results - "Shock and vibration"

Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings by Meruane, V., Droguett, Enrique López, Ferrada, Andrés, Verstraete, David, Modarres, Mohammad

“…Traditional feature extraction and selection is a labor-intensive process requiring expert knowledge of the relevant features pertinent to the system. This…”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by AlShorman, Ahmad, Haider, Noman, Zhen, D., Saad, Nordin, Irfan, Muhammad, AlShorman, Omar, Glowacz, Adam

“…The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating machinery (RM) have critical importance for early diagnosis to…”
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Gearbox Fault Identification and Classification with Convolutional Neural Networks by Chen, ZhiQiang, Sanchez, René-Vinicio, Li, Chuan

“…Vibration signals of gearbox are sensitive to the existence of the fault. Based on vibration signals, this paper presents an implementation of deep learning…”
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Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review by Mohd Ghazali, Mohamad Hazwan, Rahiman, Wan

“…Untimely machinery breakdown will incur significant losses, especially to the manufacturing company as it affects the production rates. During operation,…”
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Modeling and Application of Process Damping in Milling of Thin-Walled Workpiece Made of Titanium Alloy by He, Ning, Li, Liang, Zhao, Wei, Li, Xin, Chi, ShengWei

“…The modeling as well as application of process damping in milling of thin-walled workpiece made of titanium alloy is investigated. Titanium alloy used commonly…”
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A Novel Hierarchical Algorithm for Bearing Fault Diagnosis Based on Stacked LSTM by Tian, Yanping, Gao, Feng, Qu, Jianling, Yu, Lu

“…Faced with severe operating conditions, rolling bearings tend to be one of the most vulnerable components in mechanical systems. Due to the requirements of…”
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A Review of Indirect Bridge Monitoring Using Passing Vehicles by Malekjafarian, Abdollah, OBrien, Eugene J., McGetrick, Patrick J.

“…Indirect bridge monitoring methods, using the responses measured from vehicles passing over bridges, are under development for about a decade. A major…”
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Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals by Liu, Hongmei, Ma, Jian, Li, Lianfeng

“…The main challenge of fault diagnosis lies in finding good fault features. A deep learning network has the ability to automatically learn good characteristics…”
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Experimental Study on Anisotropic Strength and Deformation Behavior of a Coal Measure Shale under Room Dried and Water Saturated Conditions by Peng, Syd S., Li, Wenfeng, Zhang, Yidong, Wan, Zhijun, Cheng, Jingyi, Zhang, Peng

“…This paper presents an experimental investigation of anisotropic strength and deformation behavior of coal measure shale. The effect of two factors (i.e.,…”
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Vibration in a Multistage Centrifugal Pump under Varied Conditions by Pang, Qinglong, Jiang, Xiaoping, Zhou, Ling, Bai, Ling, Daoxing, Ye

“…Multistage pumps are intended to improve designs with low-vibration and -noise features as the industry applications increase the technical requirements. In…”
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The Effect of High Loading Rate on the Behaviour and Mechanical Properties of Coal-Rock Combined Body by Gong, Fengqiang, Luo, Yong, Ye, Hao

“…In order to investigate the high loading rate effect on the behaviour and mechanical properties of coal-rock combined body, the dynamic compressive tests were…”
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Optimal Design of Diversion Piers of Lateral Intake Pumping Station Based on Orthogonal Test by Zhou, Jiren, Zhao, Miaomiao, Wang, Chuan, Gao, Zhenjun

“…To explore the rectification parameters of the diversion piers optimized for the forebay of the pump station with a lateral angle of 45°, the orthogonal…”
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Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data by Meruane, V., Droguett, Enrique López, Kobrich, Philip, Cofre-Martel, Sergio

“…Damage diagnosis has become a valuable tool for asset management, enhanced by advances in sensor technologies that allows for system monitoring and providing…”
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Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis by He, Jun, Li, Xiang, Chen, Yong, Chen, Danfeng, Guo, Jing, Zhou, Yan

“…In mechanical fault diagnosis, it is impossible to collect massive labeled samples with the same distribution in real industry. Transfer learning, a promising…”
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Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism by Zhang, Xiaochen, Cong, Yiwen, Yuan, Zhe, Zhang, Tian, Bai, Xiaotian

“…Aiming at the problem of early fault diagnosis of rolling bearing, an early fault detection method of rolling bearing based on a multiscale convolutional…”
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Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder by Rastin, Zahra, Ghodrati Amiri, Gholamreza, Darvishan, Ehsan

“…Structural health monitoring (SHM) is a hot research topic with the main purpose of damage detection in a structure and assessing its health state. The major…”
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A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition by Yi, Cancan, Dang, Zhang, Lv, Yong

“…Variational mode decomposition (VMD) is a new method of signal adaptive decomposition. In the VMD framework, the vibration signal is decomposed into multiple…”
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Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy by Liu, Wuqiang, Shen, Jinxing, Yang, Xiaoqiang, Zhou, Fuming

“…Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample…”
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Temperature Energy Influence Compensation for MEMS Vibration Gyroscope Based on RBF NN-GA-KF Method by Liu, Yu, Shen, Chong, Zhang, Yingjie, Cao, Huiliang, Wang, Xinwang

“…This paper proposed three methods to compensate the temperature energy influence drift of the MEMS vibration gyroscope, including radial basis function neural…”
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Vibration Response Characteristics of the Cross Tunnel Structure by Wang, Junbao, Niu, Fangyuan, Qiu, Junling, Wang, Kaiyun, Lai, Jinxing, Chen, Jianxun

“…It is well known that the tunnel structure will lose its function under the long-term repeated function of the vibration effect. A prime example is the Xi’an…”
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