Search Results - "Zi, YanYang"

Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions by Li, Jie, Wang, Yu, Zi, Yanyang, Zhang, Zhijie

“…Intelligent bearing diagnostic methods are developing rapidly, but they are difficult to implement due to the lack of real industrial data. A feasible way to…”
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LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification by Pan, Jun, Zi, Yanyang, Chen, Jinglong, Zhou, Zitong, Wang, Biao

“…The key challenge of intelligent fault diagnosis is to develop features that can distinguish different categories. Because of the unique properties of…”
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A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation by Shi, Zhen, Chen, Jinglong, Zi, Yanyang, Zhou, Zitong

“…Playing a vital role in the safe operation of equipment, intelligent fault detection has been extensively applied in mechanical systems. However, the…”
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Health Indicator Construction Method of Bearings Based on Wasserstein Dual-Domain Adversarial Networks Under Normal Data Only by Li, Jie, Zi, Yanyang, Wang, Yu, Yang, Ying

“…Rolling bearings are the most critical parts of rotating machinery and their damage is the leading cause of system failures. To ensure the reliability of the…”
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Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life by Peng, Yizhen, Wang, Yu, Zi, Yanyang

“…Remaining useful life (RUL) is a critical metric in prognostics and health management (PHM) because it reflects the future health status and fault progression…”
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PhysiCausalNet: A Causal- and Physics-Driven Domain Generalization Network for Cross-Machine Fault Diagnosis of Unseen Domain by Zhu, Yumeng, Zi, Yanyang, Li, Jie, Xu, Jing

“…Domain generalization for intelligent fault diagnosis is a technology that can acquire diagnostic knowledge from related machines and generalize to the unseen…”
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Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode by Li, Jie, Wang, Yu, Zi, Yanyang, Zhang, Haijun, Wan, Zhiguo

“…In recent years, the identification of out-of-distribution faults has become a hot topic in the field of intelligent diagnosis. Existing researches usually…”
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Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification by Yang, Zhe, Long, Jianyu, Zi, Yanyang, Zhang, Shaohui, Li, Chuan

“…In industrial applications, different abnormal conditions of a machine or a machinery fleet typically occur sequentially instead of becoming initially known…”
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A Local Weighted Multi-Instance Multilabel Network for Fault Diagnosis of Rolling Bearings Using Encoder Signal by Li, Jie, Wang, Yu, Zi, Yanyang, Jiang, Shan

“…Rolling bearings are the key components of modern machinery, and thus, the diagnosis of bearing faults plays a crucial role in ensuring the reliable operation…”
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A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds by Shi, Zhen, He, Shuilong, Chen, Jinglong, Zi, Yanyang

“…Fault diagnosis is essential for the safe operation and subsequent maintenance of mechanical equipment. However, multifault mutual interference brings great…”
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Application of the EEMD method to rotor fault diagnosis of rotating machinery by Lei, Yaguo, He, Zhengjia, Zi, Yanyang

“…Empirical mode decomposition (EMD) is a self-adaptive analysis method for nonlinear and non-stationary signals. It may decompose a complicated signal into a…”
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A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem by Wang, Yu, Peng, Yizhen, Zi, Yanyang, Jin, Xiaohang, Tsui, Kwok-Leung

“…Prognostics of the remaining useful life (RUL) has emerged as a critical technique for ensuring the safety, availability, and efficiency of a complex system…”
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Application of an improved kurtogram method for fault diagnosis of rolling element bearings by Lei, Yaguo, Lin, Jing, He, Zhengjia, Zi, Yanyang

“…Kurtogram, due to the superiority of detecting and characterizing transients in a signal, has been proved to be a very powerful and practical tool in machinery…”
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Discriminative Sparse Autoencoder for Gearbox Fault Diagnosis Toward Complex Vibration Signals by Zhang, Zhiqiang, Yang, Qingyu, Zi, Yanyang, Wu, Zongze

“…Single-layer representation learning (SLRL) is very promising in automatically learning features for gearbox fault diagnosis. Most of the existing autoencoder…”
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Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis by Li, Jie, Wang, Yu, Zi, Yanyang, Zhang, Haijun, Li, Chen

“…Due to the lack of faulty data on the target machine, intelligent networks often need to learn fault knowledge from other relevant machines. Unfortunately,…”
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Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties by Yang, Zhe, Gjorgjevikj, Dejan, Long, Jianyu, Zi, Yanyang, Zhang, Shaohui, Li, Chuan

“…Supervised fault diagnosis typically assumes that all the types of machinery failures are known. However, in practice unknown types of defect, i.e., novelties,…”
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Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform by Wang, Yanxue, He, Zhengjia, Zi, Yanyang

“…In order to enhance the desired features related to some special type of machine fault, a technique based on the dual-tree complex wavelet transform (DTCWT) is…”
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A Fractional Exponential Power Bistable Stochastic Resonance Method for Rolling Bearing Weak Features Extraction by Chen, Jin, Zhang, Xiaoguang, Chen, Zhenyi, Zi, Yanyang, Chen, Yang, Shi, Zhen

“…Stochastic resonance (SR) has been broadly investigated in feature extraction for vibration signals. However, the output saturation of classical bistable SR…”
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A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains by Li, Jie, Wang, Yu, Zi, Yanyang, Sun, Xiaojie, Yang, Ying

“…In most practical applications of fault diagnosis methods, two problems will inevitably arise. First, limited by the monitored object itself and its…”
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Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble by Hu, Qiao, He, Zhengjia, Zhang, Zhousuo, Zi, Yanyang

“…This paper presents a novel method for fault diagnosis based on an improved wavelet package transform (IWPT), a distance evaluation technique and the support…”
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