Search Results - "Liao, Yixiao"

Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis by Huang, Ruyi, Liao, Yixiao, Zhang, Shaohui, Li, Weihua

“…Intelligent compound fault diagnosis of rotating machinery plays a crucial role for the security, high-efficiency, and reliability of modern manufacture…”
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Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis by Liao, Yixiao, Huang, Ruyi, Li, Jipu, Chen, Zhuyun, Li, Weihua

“…In machinery fault diagnosis, labeled data are always difficult or even impossible to obtain. Transfer learning can leverage related fault diagnosis knowledge…”
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Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis by Liao, Yixiao, Huang, Ruyi, Li, Jipu, Chen, Zhuyun, Li, Weihua

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Polyphonic sound event localization and detection based on Multiple Attention Fusion ResNet by Zhang, Shouming, Zhang, Yaling, Liao, Yixiao, Pang, Kunkun, Wan, Zhiyong, Zhou, Songbin

“…Sound event localization and detection have been applied in various fields. Due to the polyphony and noise interference, it becomes challenging to accurately…”
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Cellulolytic Bacillus cereus produces a variety of short-chain fatty acids and has potential as a probiotic by Liao, Yixiao, Wu, Shihui, Zhou, Guixian, Mei, Shihui, Yang, Zemin, Li, Shuang, Jin, Zhengyu, Deng, Yongjun, Wen, Ming, Yang, Ying

“…Cellulolytic bacteria ferment dietary fiber into short-chain fatty acids, which play an important role in improving fiber utilization and maintaining…”
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Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators by Liang, Jingkang, Liao, Yixiao, Chen, Zhuyun, Lin, Huibin, Jin, Gang, Gryllias, Konstantinos, Li, Weihua

“…Deep learning‐based methods have been widely used in the field of rotating machinery fault diagnosis. It is of practical significance to improve the…”
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Probiotic-Fermented Distillers Grain Alters the Rumen Microbiome, Metabolome, and Enzyme Activity, Enhancing the Immune Status of Finishing Cattle by Mei, Shihui, He, Guangxia, Chen, Ze, Zhang, Rong, Liao, Yixiao, Zhu, Mingming, Xu, Duhan, Shen, Yanjuan, Zhou, Bijun, Wang, Kaigong, Wang, Chunmei, Zhu, Erpeng, Chen, Chao

“…A total of 30 Simmental crossbred cattle (6.50 months old, 265.0 ± 22.48 kg) were randomly divided into three groups, with 10 heads per group, and fed for 45…”
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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges by Li, Weihua, Huang, Ruyi, Li, Jipu, Liao, Yixiao, Chen, Zhuyun, He, Guolin, Yan, Ruqiang, Gryllias, Konstantinos

“…Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can not only leverage the advantages of Deep Learning (DL) in feature representation,…”
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Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed by Liao, Yixiao, Huang, Ruyi, Li, Jipu, Chen, Zhuyun, Li, Weihua

“…In recent years, deep learning has become a promising tool for rotary machinery fault diagnosis, but it works well only when testing samples and training…”
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Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery by Chen, Zhuyun, He, Guolin, Li, Jipu, Liao, Yixiao, Gryllias, Konstantinos, Li, Weihua

“…Recently, deep learning-based intelligent fault diagnosis techniques have obtained good classification performance with amount of supervised training data…”
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A Two-Stage Transfer Adversarial Network for Intelligent Fault Diagnosis of Rotating Machinery With Multiple New Faults by Li, Jipu, Huang, Ruyi, He, Guolin, Liao, Yixiao, Wang, Zhen, Li, Weihua

“…Recently, deep transfer learning based intelligent fault diagnosis has been widely investigated, and the tasks that source and target domains share the same…”
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Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task by Huang, Ruyi, Li, Jipu, Liao, Yixiao, Chen, Junbin, Wang, Zhen, Li, Weihua

“…With advanced measurement technologies and signal analytics algorithms developed rapidly, the past decades have witnessed large amount of successful…”
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A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery by Chen, Zhuyun, Liao, Yixiao, Li, Jipu, Huang, Ruyi, Xu, Lei, Jin, Gang, Li, Weihua

“…In real industries, there often exist application scenarios where the target domain holds fault categories never observed in the source domain, which is an…”
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Wavelet transform based convolutional neural network for gearbox fault classification by Yixiao Liao, Xueqiong Zeng, Weihua Li

“…As a valid method of time-frequency analysis, Wavelet transform (WT) can offer great help for gearbox fault diagnosis. However, it requires much human…”
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Gearbox fault classification using S-transform and convolutional neural network by Xueqiong Zeng, Yixiao Liao, Weihua Li

“…This study presents a new method based on convolutional neural network (CNN) for the gearbox fault identification and classification, which does not need the…”
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Regrouping Particle Swarm Optimization-Based Neural Network for Bearing Fault Diagnosis by Yixiao Liao, Lei Zhang, Weihua Li

“…This paper proposes a regrouping particle swarm optimization-based neural network (RegPSONN) for rolling bearing fault diagnosis. The proposed method applied…”
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Deep Semi-supervised Domain Generalization Network for Rotary Machinery Fault Diagnosis under Variable Speed by Liao, Yixiao, Huang, Ruyi, Li, Jipu, Chen, Zhuyun, Li, Weihua

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Digital twin-assisted gearbox dynamic model updating toward fault diagnosis by XIA, Jingyan, HUANG, Ruyi, LIAO, Yixiao, LI, Jipu, CHEN, Zhuyun, LI, Weihua

“…One of the core challenges of intelligent fault diagnosis is that the diagnosis model requires numerous labeled training datasets to achieve satisfactory…”
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Proto-DS: A Self-Supervised Learning-Based Nondestructive Testing Approach for Food Adulteration with Imbalanced Hyperspectral Data by Pang, Kunkun, Liu, Yisen, Zhou, Songbin, Liao, Yixiao, Yin, Zexuan, Zhao, Lulu, Chen, Hong

“…Conventional food fraud detection using hyperspectral imaging (HSI) relies on the discriminative power of machine learning. However, these approaches often…”
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Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis by Yixiao Liao, Ruyi Huang, Jipu Li, Zhuyun Chen, Weihua Li

“…In machinery fault diagnosis,labeled data are always difficult or even impossible to obtain.Transfer learning can lever-age related fault diagnosis knowledge…”
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