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Bearing intelligent fault diagnosis
Bearing vibration signal is a kind of time series data, and its time dimension characteristic plays a key role in classification. Using convolutional neural network (CNN) alone to diagnose bearing fault will cause the loss of time dimension information ...
WU Dongmei +4 more
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Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery
Fault diagnosis of rotating machinery plays a significant role in the industrial production and engineering field. Owing to the drawbacks of traditional fault diagnosis methods, such as heavily dependence on human knowledge and professional experience ...
Shengnan Tang, Shouqi Yuan, Yong Zhu
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Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault Diagnosis. [PDF]
Intelligent fault diagnosis (IFD) based on deep learning can achieve high accuracy from raw condition monitoring signals. However, models usually perform well on the training distribution only, and experience severe performance drops when applied to a different distribution.
Forest F, Fink O.
europepmc +5 more sources
Review of Intelligent Device Fault Diagnosis Based on Deep Learning [PDF]
Intelligent fault diagnosis applies deep learning theory to equipment fault diagnosis,which can automatically identify the health state and fault type of equipment,and has attracted extensive attention in the field of equipment fault diagnosis ...
HUANG Xundi, PANG Xiongwen
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Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review
As the modern industry rapidly advances toward digitalization, networking, and intelligence, intelligent fault diagnosis technology has become a necessary measure to ensure the safe and stable operation of mechanical equipment and effectively avoid major
Yong Zhu +4 more
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Multi-Sensor Fault Diagnosis Based on Time Series in an Intelligent Mechanical System
Intelligent mechanical systems are a focused area nowadays. One of the requirements of intelligent mechanical systems is to achieve intelligent fault diagnosis through the real-time acquisition and analysis of data from various sensors installed on ...
Zhuoran Xu +3 more
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BP Neural Network Algorithms for Fault Diagnosis of Microwave Components [PDF]
Intelligent diagnosis is the main trend of modern fault diagnosis technology. The emergence of artificial neural network technology provides a new way for this kind of intellectualization.
Kun Gao, Aimin Wang, Yan Ge
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Rotating machinery is widely applied in important equipment of nuclear power plants (NPPs), such as pumps and valves. The research on intelligent fault diagnosis of rotating machinery is crucial to ensure the safe operation of related equipment in NPPs ...
Zhichao Wang +4 more
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Application and prospects of intelligent fault diagnosis technology for marine power system
As the core system of the entire ship, the safety and reliability of the power system directly affects the safe navigation of the ship, and effective fault monitoring and diagnosis technology is an important means of ensuring navigation safety. First, by
JIANG Jiawei +3 more
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The intelligent maintenance of coal mine electromechanical equipment is an important part of the construction of intelligent mines. The research status of intelligent fault diagnosis and predictive maintenance of coal mine electromechanical equipment is ...
LIU Yuanyuan
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