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FAULT - Crossref

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Last Updated: 24 August 2022

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Data Augmentation in 2D Feature Space for Intelligent Weak Fault Diagnosis of Planetary Gearbox Bearing

In actual industrial applications, it is common to face problems of big data and poor fault identification accuracy. Noise reduction is achieved by a two-dimensional space feature extraction device based on the Cyclostationary model and wavelet transform. Firstly, the demodulation of wavelet transform coefficients is carried out by cyclelet transform coefficients of bearing vibration signals to convert one-dimensional vibration results into a two-dimensional spectrogram for raising the weak fault feature. Secondly, the image segmentation scheme is introduced, which will collect more data and improve estimation accuracy and efficiency on the basis of data dimension reduction.

Source link: https://doi.org/10.3390/app12178414


Seismic Response Analysis of a Curved Bridge under Near-Fault and Far-Field Ground Motions

A 1:10 scale curved bridge shaking table test model was used to investigate the effect of near-fault and far-field ground motions on a curved girder bridge. The test findings revealed that the curved bridge's seismic response in the excitation of NP ground motion is much higher than that in the excitation of NN and FF ground motions, and that it is potentially damaging to the curved bridge. The amplification of pier height raises the displacement reaction at the high pier.

Source link: https://doi.org/10.3390/app12168349


Key Technology of Wide-Area Backup Protection of Intelligent DC Power Networks Based on Fault Identification

Traditional backup services are no longer sufficient to cover the grid's demands in turbulent environments as the number of the grid continues to increase. This paper discusses the architecture of a wide-area defense team and then introduces a fault line detection scheme based on standard fault assembly wide-area backup coverage and a positive matrix based on spectral analysis. The difference in the amount of fault determination between line zone faults and out-of-zone faults is shown by the assembly-based positive sequence error determination algorithm, as well as fault line detection criteria are provided. The current error sequence of each pin of the circuit is copied, translated, and superimposed with noise, then the original random matrix is modified to obtain the fault identification matrix, and finally the average spectrum radius is estimated, according to the average spectrum radius, which is calculated in the algorithm based on random matrix theory.

Source link: https://doi.org/10.1155/2022/9523208


Parallel adversarial feature learning and enhancement of feature discriminability for fault diagnosis of a planetary gearbox under time-varying speed conditions

Abstract The intelligent fault diagnosis of a planetary gearbox under variable speed is still a difficult problem. To solve the problems, a parallel adversarial learning inference scheme has been devised, with the aim of validating encoder and decoder certification while still improving feature discriminability. As input for the decoder, then uses an explicit multi-dimensional uniform distribution for the benefit of a simple probability density function to generate visualized and well-classified samples. The results reveal that the planned parallel adversarial game is valid for encoder and decoder independently, and PALI operates as well as adversary auto encoder and outperforms ALI, a variational autoencoder with the goal of obtaining well-clustered results across multiple training data. PALI based on short-term Fourier change is more effective than different training results compared to Wigner-Ville's production and continuous wavelet transition.

Source link: https://doi.org/10.1088/1361-6501/ac8be9


Mining Stress Distribution and Gas Drainage Application of Coal Seam Group under Fault Influence

It is of significant engineering importance to investigate the gas distribution and extraction methods between coal seam group mines under the influence of faults in order to ensure the safe and efficient production of close coal seam group mines under the influence of faults. During the advancing process, the gas pressure reduction zone is formed in the range of 20 m and 6 m of F1 fault's lower wall, and the pressure relief effect is strong in the range from 40 m above the working face to 20 m below the bottom plate. Under the influence of faults, the improved gas drainage system has a good effect on gas control in coal seam group mining. With similar mining conditions, the study findings provide a concrete reference and application value for mine gas control.

Source link: https://doi.org/10.1155/2022/8432024


Local buckling behavior of buried pipeline under seismic oblique-reverse fault displacement

The pipeline's location and degree of use may be inaccurate under the single fault displacement's single fault displacement, affecting the monitoring and safety assessment of the pipeline. Using ABAQUS, a shell and solid element nonlinear contact coupling model of the pipeline crossing oblique-reverse fault displacement is developed in this paper to determine the pipe local buckling behavior under the oblique-reverse fault displacement scheme. It has been discovered that using the findings of pipe local buckling under single fault to determine the pipeline local buckling under composed fault is not safe enough.

Source link: https://doi.org/10.21203/rs.3.rs-1958019/v1


A Fault Ride-Through Technique for PMSG wind turbines using Superconducting Magnetic Energy Storage (SMES) under Grid voltage sag conditions

Wind power penetration is increasing, posing significant technological challenges for designing electrical grid systems. Wind energy conversion units with gearless permanent magnet synchronous generator wind energy conversion kits are getting more popular. It is researched that the use of Superconducting Magnetic Energy Storage to improve fault ride-through in PMSG wind turbines. WECS are not to be cut from the grid, but rather, they should be able to provide responsive power assistance in those situations, according to the most recent Grid code trends. When the wind turbine's inertial response range is insufficient, SMES reserve energy capacity is required for FRT operation.

Source link: https://doi.org/10.24084/repqj20.223


A Comprehensive Fault Prediction Model for Improving Software Reliability

In this report, we have developed a comprehensive Fault Prediction Model for Software Reliability, which will help determine the largest number of bugs in a software. Since introduction, the current model was based on a u201d-Homogeneous Poisson Process Model, which includes fault reliant identification, rate of failure, and a software defect that has existed since release. For the analysis of new FPM estimates, the Software Engineering Team Assessment and Prediction database is used.

Source link: https://doi.org/10.4018/ijsi.297914


Improved fault location method for AT traction power network based on EMU load test

A large number of studies show that the relationship between the AT neutral current ratio and the distance from the start of the fault AT section to the fault point is mostly nonlinear, particularly with the construction of high-speed electrified railways. Through the load testing of the electric multiple unit, a substantial number of load-related latest data that can be used to describe the Q-u2013L relationship are found to solve this problem. The maximum absolute error and the average absolute error of the updated scheme are 0. 651 km and 0. 334 km lower than those of the old model, respectively, demonstrating that the new method can effectively eliminate nonlinear factors and greatly raise the accuracy of fault location for the AT traction power network and greatly raise the accuracy of fault location for the AT traction power network on this basis.

Source link: https://doi.org/10.1007/s40534-022-00284-z


Basement Fault Activation before Larger Earthquakes in Oklahoma and Kansas

We show that monitoring of microearthquakes on a regional basis using a pre-trained neural phase picker and an earthquake relocation algorithm can reveal new fault locations and provide insight that can be synthesized for earthquake forecasting. We also discovered that once a seismicity cluster with a length sufficient to support a larger earthquake was established, there was a 55% chance that it would host one or two larger earthquakes within a year.

Source link: https://doi.org/10.1785/0320220020

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions