Predict industrial equipment failure with time windows and transfer learning
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02441-z
Abstract: Sensors, while more widely implemented in industry, have generated a large number of high-dimension unlabeled time series data during the process of the complicated producing. If putting these data to use, we can predict and… read more here.
Keywords: transfer learning; predict industrial; time; industrial equipment ... See more keywords
Diagnostics of industrial equipment and faults prediction based on modified algorithms of artificial immune systems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-020-01732-5
Abstract: Nowadays, industrial enterprises are equipped with sophisticated equipment, diagnostics and prediction of the state of which is an urgent task. The article presents the developed system for diagnostics of industrial equipment based on the methodology… read more here.
Keywords: algorithms artificial; modified algorithms; artificial immune; equipment ... See more keywords
Nonlinear Wiener process analysis for industrial equipment life prediction
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DOI: 10.1063/5.0280349
Abstract: Predicting the lifespan of industrial equipment can promptly identify potential problems and provide timely maintenance and updates. However, current methods for predicting equipment lifespan still suffer from poor prediction performance and long prediction time because… read more here.
Keywords: industrial equipment; analysis; equipment; equipment life ... See more keywords
FORMULA: A Deep Learning Approach for Rare Alarms Predictions in Industrial Equipment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3127995
Abstract: Predictive Maintenance technologies are particularly appealing for Industrial Equipment producers, as they pave the way to the selling of high added-value services and customized maintenance plans. However, standard Predictive Maintenance approaches assume the availability of… read more here.
Keywords: industrial equipment; proposed approach; alarm; rare alarms ... See more keywords
Light-Weighted Deep Learning Model to Detect Fault in IoT-Based Industrial Equipment
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2455259
Abstract: Industry 4.0, with the widespread use of IoT, is a significant opportunity to improve the reliability of industrial equipment through problem detection. It is difficult to utilize a unified model to depict the working condition… read more here.
Keywords: industrial equipment; detection; equipment; deep learning ... See more keywords
Industrial equipment detection algorithm under complex working conditions based on ROMS R-CNN
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0266444
Abstract: In the paper, we proposed a deep learning-based industrial equipment detection algorithm ROMS R-CNN (Rotation Occlusion Multi-Scale Region-CNN). It can solve the problem of inaccurate detection of industrial equipment under complex working conditions such as… read more here.
Keywords: rotation; equipment detection; detection algorithm; industrial equipment ... See more keywords
Permutation Entropy: An Ordinal Pattern-Based Resilience Indicator for Industrial Equipment
Sign Up to like & getrecommendations! Published in 2024 at "Entropy"
DOI: 10.3390/e26110961
Abstract: In a highly dynamic and complex environment where risks and uncertainties are inevitable, the ability of a system to quickly recover from disturbances and maintain optimal performance is crucial for ensuring operational continuity and efficiency.… read more here.
Keywords: industrial equipment; permutation entropy; entropy ordinal; resilience ... See more keywords