Search Results - "Yongzhi Qu"

Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor by Li, Jialin, Li, Xueyi, He, David, Qu, Yongzhi

“…In recent years, deep learning based diagnostic approaches have become more attractive. However, most of these methods are supervised diagnostic approaches…”
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Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals by Li, Xueyi, Li, Jialin, Qu, Yongzhi, He, David

“…This paper deals with gear pitting fault diagnosis problem and presents a method by integrating convolutional neural network (CNN) and gated recurrent unit…”
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A Novel Method for Early Gear Pitting Fault Diagnosis Using Stacked SAE and GBRBM by Li, Jialin, Li, Xueyi, He, David, Qu, Yongzhi

“…Research on data-driven fault diagnosis methods has received much attention in recent years. The deep belief network (DBN) is a commonly used deep learning…”
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Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors--a comparative study by Qu, Yongzhi, He, David, Yoon, Jae, Van Hecke, Brandon, Bechhoefer, Eric, Zhu, Junda

“…In recent years, acoustic emission (AE) sensors and AE-based techniques have been developed and tested for gearbox fault diagnosis. In general, AE-based…”
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Detection of Pitting in Gears Using a Deep Sparse Autoencoder by Qu, Yongzhi, He, Miao, Deutsch, Jason, He, David

“…In this paper; a new method for gear pitting fault detection is presented. The presented method is developed based on a deep sparse autoencoder. The method…”
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The Detection of the Pipe Crack Utilizing the Operational Modal Strain Identified from Fiber Bragg Grating by Wang, Zechao, Liu, Mingyao, Qu, Yongzhi, Wei, Qin, Zhou, Zude, Tan, Yuegang, Hong, Liu, Song, Han

“…The small and light-weight pipeline is widely used in hydraulic system for aerospace engineering. The crack is one of the most common failures in the pipelines…”
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A Fiber Bragg Grating Sensing Based Triaxial Vibration Sensor by Li, Tianliang, Tan, Yuegang, Liu, Yi, Qu, Yongzhi, Liu, Mingyao, Zhou, Zude

“…A fiber Bragg grating (FBG) sensing based triaxial vibration sensor has been presented in this paper. The optical fiber is directly employed as elastomer, and…”
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Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction With Particle Filtering by Yongzhi Qu, David He, Jae M. Yoon, Junda Zhu, Eric Bechhoefer

“…In order to reduce the costs of wind energy, it is necessary to improve the wind turbine availability and reduce the operational and maintenance costs. The…”
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A New Acoustic Emission Sensor Based Gear Fault Detection Approach by Junda Zhu, Eric Bechhoefer, David He, Yongzhi Qu

“…In order to reduce wind energy costs, prognostics and health management (PHM) of wind turbine is needed to ensure the reliability and availability of wind…”
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Vibration Based Diagnosis for Planetary Gearboxes Using an Analytical Model by Liu, Mingyao, Tan, Yuegang, Qu, Yongzhi, Hong, Liu, Zhou, Zude

“…The application of conventional vibration based diagnostic techniques to planetary gearboxes is a challenge because of the complexity of frequency components…”
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An Improved Feature Extraction Method for Rolling Bearing Fault Diagnosis Based on MEMD and PE by Zhang, Hu, Zhao, Lei, Liu, Quan, Luo, Jingjing, Wei, Qin, Zhou, Zude, Qu, Yongzhi

“…The health condition of rolling bearing can directly influence to the efficiency and lifecycle of rotating machinery, thus monitoring and diagnosing the faults…”
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Gear pitting fault diagnosis with mixed operating conditions based on adaptive 1D separable convolution with residual connection by Li, Xueyi, Li, Jialin, Zhao, Chengying, Qu, Yongzhi, He, David

“…•The proposed method can effectively detect the faults of different pitting degrees of gears under mixed conditions.•The proposed method can reduce the model…”
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Graph neural network architecture search for rotating machinery fault diagnosis based on reinforcement learning by Li, Jialin, Cao, Xuan, Chen, Renxiang, Zhang, Xia, Huang, Xianzhen, Qu, Yongzhi

“…In order to improve the accuracy of fault diagnosis, researchers are constantly trying to develop new diagnostic models. However, limited by the inherent…”
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Deep and Broad Learning on Content-Aware POI Recommendation by Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Yu, Philip S.

“…POI recommendation has attracted lots of research attentions recently. There are several key factors that need to be modeled towards effective POI…”
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Vibration response of multi-span fluid-conveying pipe with multiple accessories under complex boundary conditions by Liu, Mingyao, Wang, Zechao, Zhou, Zude, Qu, Yongzhi, Yu, Zhaoxiang, Wei, Qin, Lu, Ling

“…Realistic multi-span fluid-conveying pipe may contain various accessories such as valves, clamps, flanges, elastic supports and vibration absorbers under…”
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Development of Deep Residual Neural Networks for Gear Pitting Fault Diagnosis Using Bayesian Optimization by Li, Jialin, Chen, Renxiang, Huang, Xianzhen, Qu, Yongzhi

“…In recent years, the application of deep neural networks containing directed acyclic graph (DAG) architectures in mechanical fault diagnosis has achieved…”
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A novel vibration-based fault diagnostic algorithm for gearboxes under speed fluctuations without rotational speed measurement by Hong, Liu, Qu, Yongzhi, Dhupia, Jaspreet Singh, Sheng, Shuangwen, Tan, Yuegang, Zhou, Zude

“…•Speed fluctuations smear measured spectrum challenging spectral analysis.•Proposed tacho-less technique warps original timescale to a transformed…”
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A novel fault diagnostic technique for gearboxes under speed fluctuations without angular speed measurement by Liu Hong, Yongzhi Qu, Dhupia, Jaspreet Singh, Yuegang Tan

“…In practice, fluctuations around the nominal operating speed often result in vibration spectra of gearboxes to appear smeared. Order tracking technique can be…”
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Gear pitting fault diagnosis using raw acoustic emission signal based on deep learning by Li, Xueyi, Li, Jialin, He, David, Qu, Yongzhi

“…Gear pitting fault is one of the most common faults in mechanical transmission. Acoustic emission (AE) signals have been effective for gear fault detection…”
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A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets by Liu Hong, Yongzhi Qu, Dhupia, Jaspreet Singh, Yuegang Tan

“…The condition monitoring system of gearboxes usually employs accelerometers fixed on the gear housing to diagnose the gear damage. Such diagnostic system is…”
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