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A rolling bearing fault evolution state indicator based on deep learning and its application
Aiming at the limitation of early fault warning and the diagnosis of aero-engine main bearing when there are only normal operation data, a rolling...
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Speed Adaptive Graph Convolutional Network for Wheelset-Bearing System Fault Diagnosis Under Time-Varying Rotation Speed Conditions
PurposeThe wheelset-bearing system is one of the key parts of the high-speed train. Fault diagnosis is the guarantee of its safe operation. But its...
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Review on High-Impedance Fault Detection Techniques
In distribution power systems, high-impedance fault (HIF) is termed the most familiar turbulence. Corrosion, damaged conductors and loose connections...
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Noise background AC series arc fault detection research based on IDOA-SR-VMD and ensemble learning
Low-voltage AC distribution system in numerous loads generates a large amount of noise, which can weaken the arc fault characteristics to lead much...
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Fault Detection of Flexible DC Distribution Network Based on GAF and Improved Deep Residual Network
To solve the problems of low accuracy and susceptibility to transition resistance in the existing fault detection methods of flexible DC distribution...
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Multi-load Series Fault Arc Identification Based on PSO-RELM
Most of the existing fault arc circuit breaker is only for single circuit single load. Aiming at the problem of complex running load of low-voltage...
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Improving byzantine fault tolerance based on stake evaluation and consistent hashing
In the context of distributed systems, Byzantine fault tolerance plays a critical role in ensuring the normal operation of the system, particularly...
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Fault Diagnosis Method for Rotating Machinery Based on Multi-scale Features
The vibration signals of rotating machinery usually contain various natural oscillation modes, exhibiting multi-scale features. This paper proposes a...
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Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm
Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty...
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Rolling Bearing Fault Diagnosis with Distribution Shift Data Using Improved Spatial Distribution Filters and Constraint Feature Extraction
The main bearing is a key component to maintaining the stable and safe operation of the gas generator power end, so fault diagnosis for the main...
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Optimal Transport Based Multi-layer Domain Adaptation Model for Industrial Fault Diagnosis
Bearing and gearbox are important parts of transmission system, which can directly affect the efficiency of the industrial system. However, due to...
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Conventional Intelligent Fault Diagnosis
In this chapter, the conventional intelligent fault diagnosis methods for mechanical systems are presented. First, as one of the major AI...
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Multiple fault recognition for chemical processes based on TSK-type neural networks with nonlinear consequences
Fault recognition systems are developed to characterize normal conditions and detect different faults in a process plant, which is important for...
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Fault diagnosis study of mine drainage pump based on MED–WPD and RBFNN
Mine drainage pumps typically operate in the strong background noise environment of underground coal mines, and the vibration sensor is usually...
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An ANFIS-based approach to locate arc fault in smart grid using phasor measurement units (PMU)
Smart grids experience hundreds of Arc faults every year. Due to the low current range of high impedance (arc) faults, it is difficult to detect and...
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Series arc fault detection method based on a residual deformable convolutional network for complex branch circuit
When a series arc fault (SAF) occurs in one branch of a low-voltage alternating current power distribution system with complex connections and many...
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Fault diagnosis for rolling bearing of road heading machine via SVDS-ICNN
Aiming at the problems of nonstationary, nonlinear, strong background noise interference and difficult feature extraction of rolling bearing...
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Development of Smart Real-time Fault Detection Approach in Railway Track Deploying a Single Acoustic Emission Sensor Data
ObjectiveRailways, integral to global trade and transportation, face infrastructure vulnerabilities from heavy traffic and challenging environments....
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Fault Diagnosis of Proton Exchange Membrane Fuel Cell Based on Nonlinear Impedance Spectrum
Electrochemical impedance spectroscopy (EIS) contributes to develo** the fault diagnosis tools for fuel cells, which is of great significance in...
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Structural Damage Identification Based on Convolutional Neural Network Group Considering the Sensor Fault
This article proposes a structural damage identification method based on one-dimensional convolutional neural network group considering sensor...