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Journal of Marine Science and Engineering, 2023 The development of intelligent ships has an urgent demand for intelligent fault diagnosis technology. The working conditions and fault modes of high-power marine diesel engines gradually tend to be diversified and complicated, and the problems of ...
Yu Guo, Jundong Zhang
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Chengshi guidao jiaotong yanjiuObjectiveThe operation and maintenance of existing signaling equipment faces problems such as low maintenance efficiency, reliance on manual experience, complex fault modes across lines and equipment, and difficulties in deep integration of multi-source ...
Yulong TAO +3 more
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GADF-VGG16 based fault diagnosis method for HVDC transmission lines.
PLoS ONE, 2022 Transmission lines are most prone to faults in the transmission system, so high-precision fault diagnosis is very important for quick troubleshooting. There are some problems in current intelligent fault diagnosis research methods, such as difficulty in ...
Hao Wu +4 more
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Research Progress of Vibration Fault Diagnosis Technology for Steam Turbine Generator Sets
发电技术, 2021 With the increasing demand of power energy, the safe and stable operation of high parameter and large capacity turbo-generator sets is of great significance to power production.
Shangnian CHEN +5 more
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An Intelligent Fault Diagnosis System for Machine Tools
International Journal of Automation and Smart Technology, 2014 An automatic intelligent system is developed to diagnose shaft fault types. Features related to shaft faults are extracted from vibration signals to effectively identify the corresponding fault condition. Feature extraction is accomplished using Fourier Transform, empirical mode decomposition (EMD) and multi-scale entropy (MSE). Through the EMD method,
Chia Wang, Wei-Yen Lin, Hong-Tsu Young
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Intelligent fault diagnosis system based on big data
The Journal of Engineering, 2019 In view of the actual problems existing in life-cycle health monitoring and diagnosis of large complex equipment, the machine-learning algorithm is applied to data mining of the equipment operation big data, the expert knowledge base is established, the ...
Tianshu Wu, Shuyu Chen, Peng Wu
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Applied Sciences, 2022 In order to improve the efficiency of the devices’ fault diagnosis of the protection systems of intelligent substation, a fault diagnosis method based on a gradient boosting decision tree (GBDT) was proposed.
Wei Ding +3 more
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Intelligent Fault Diagnosis of Steer-By-Wire Automobile
Journal of Computers, 2012 Abstract—This paper presents an intelligent fault diagnostic approach for a steer-by-wire (SBW) system. A rough set model is utilized to reduce the redundant information. On the base of the reduction, the classifying rules can be extracted. A radical basis function (RBF) neural network optimized by particle swarm optimization (PSO) algorithm is ...
Fangyuan Wu, Feng Kong, Jiangyun Yao
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Evolvable Transformer Fault Diagnosis Model Combining Feature Analysis and Machine Learning [PDF]
Jisuanji gongchengTransformers, which possess complex mechanisms and exert an extensive influence, are important equipment in large power systems. The state detection and fault diagnosis of transformers are hence a key challenge in traditional power systems; they also ...
Yedong MAO, Chunhui ZHANG, Jie CHEN
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Study on the fault Petri nets of the unmanned roadheader based on the transition memory
矿业科学学报, 2017 Unmanned roadheader is the realization of the concept of unmanned mining technology, coal mine intelligent mining requires roadheader with intelligent diagnosis technology.
Yang Jianjian +5 more
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