Search Results - "ISA transactions"

Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions by Zhang, Tianci, Chen, Jinglong, Li, Fudong, Zhang, Kaiyu, Lv, Haixin, He, Shuilong, Xu, Enyong

“…The research on intelligent fault diagnosis has yielded remarkable achievements based on artificial intelligence-related technologies. In engineering…”
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Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application by Han, Te, Liu, Chao, Yang, Wenguang, Jiang, Dongxiang

“…In recent years, an increasing popularity of deep learning model for intelligent condition monitoring and diagnosis as well as prognostics used for mechanical…”
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Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study by Zhao, Zhibin, Li, Tianfu, Wu, Jingyao, Sun, Chuang, Wang, Shibin, Yan, Ruqiang, Chen, Xuefeng

“…Rotating machinery intelligent diagnosis based on deep learning (DL) has gone through tremendous progress, which can help reduce costly breakdowns. However,…”
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Deep residual learning-based fault diagnosis method for rotating machinery by Zhang, Wei, Li, Xiang, Ding, Qian

“…Effective fault diagnosis of rotating machinery has always been an important issue in real industries. In the recent years, data-driven fault diagnosis methods…”
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A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network by Wang, Yalin, Pan, Zhuofu, Yuan, Xiaofeng, Yang, Chunhua, Gui, Weihua

“…Deep learning networks have been recently utilized for fault detection and diagnosis (FDD) due to its effectiveness in handling industrial process data, which…”
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Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders by Liu, Han, Zhou, Jianzhong, Zheng, Yang, Jiang, Wei, Zhang, Yuncheng

“…As the rolling bearings being the key part of rotary machine, its healthy condition is quite important for safety production. Fault diagnosis of rolling…”
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Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network by Wu, Jun, Hu, Kui, Cheng, Yiwei, Zhu, Haiping, Shao, Xinyu, Wang, Yuanhang

“…Remaining useful life (RUL) prediction is very important for improving the availability of a system and reducing its life cycle cost. This paper proposes a…”
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A survey on attack detection, estimation and control of industrial cyber–physical systems by Zhang, Dan, Wang, Qing-Guo, Feng, Gang, Shi, Yang, Vasilakos, Athanasios V.

“…Cyber–physical systems (CPSs) are complex systems that involve technologies such as control, communication, and computing. Nowadays, CPSs have a wide range of…”
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Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising by Wang, Huan, Liu, Zhiliang, Peng, Dandan, Cheng, Zhe

“…Mechanical system usually operates in harsh environments, and the monitored vibration signal faces substantial noise interference, which brings great…”
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The conformable fractional grey system model by Ma, Xin, Wu, Wenqing, Zeng, Bo, Wang, Yong, Wu, Xinxing

“…The fractional order grey models have appealed considerable interest of research in recent years due to its high effectiveness and flexibility in time series…”
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Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism by Xu, Zifei, Li, Chun, Yang, Yang

“…Machine learning techniques have been successfully applied for the intelligent fault diagnosis of rolling bearings in recent years. This study has developed an…”
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Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis by Feng, Yong, Chen, Jinglong, Zhang, Tianci, He, Shuilong, Xu, Enyong, Zhou, Zitong

“…In the engineering practice, lacking of data especially labeled data typically hinders the wide application of deep learning in mechanical fault diagnosis…”
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Efficient path planning for UAV formation via comprehensively improved particle swarm optimization by Shao, Shikai, Peng, Yu, He, Chenglong, Du, Yun

“…Automatic generation of optimized flyable path is a key technology and challenge for autonomous unmanned aerial vehicle (UAV) formation system. Aiming to…”
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Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives by Pan, Tongyang, Chen, Jinglong, Zhang, Tianci, Liu, Shen, He, Shuilong, Lv, Haixin

“…Intelligent fault diagnosis has been a promising way for condition-based maintenance. However, the small sample problem has limited the application of…”
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Intelligent fault diagnosis of hydraulic piston pump based on deep learning and Bayesian optimization by Tang, Shengnan, Zhu, Yong, Yuan, Shouqi

“…Hydraulic axial piston pump is broadly-used in aerospace, ocean engineering and construction machinery since it is the vital component of fluid power systems…”
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Q-learning based fault estimation and fault tolerant iterative learning control for MIMO systems by Wang, Rui, Zhuang, Zhihe, Tao, Hongfeng, Paszke, Wojciech, Stojanovic, Vladimir

“…This paper proposes a Q-learning based fault estimation (FE) and fault tolerant control (FTC) scheme under iterative learning control (ILC) framework. Due to…”
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A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem by Dong, Yunjia, Li, Yuqing, Zheng, Huailiang, Wang, Rixin, Xu, Minqiang

“…Intelligent fault diagnosis of rolling element bearings gains increasing attention in recent years due to the promising development of artificial intelligent…”
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Incipient winding fault detection and diagnosis for squirrel-cage induction motors equipped on CRH trains by Wu, Yunkai, Jiang, Bin, Wang, Yulong

“…Stator/rotor winding faults are the common faults in squirrel-cage induction motor systems, which motivates the study of incipient fault detection and…”
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Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model by Yan, Mingming, Wang, Xingang, Wang, Bingxiang, Chang, Miaoxin, Muhammad, Isyaku

“…Rolling element bearing is one of the critical components in rotating machines, and its running state determines machinery Remaining Useful Life (RUL)…”
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Robust adaptive nonsingular fast terminal sliding-mode tracking control for an uncertain quadrotor UAV subjected to disturbances by Labbadi, Moussa, Cherkaoui, Mohamed

“…This paper investigates the design of a robust controller for the trajectory tracking problem of an under-actuated quadrotor UAV subject to the modeling…”
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