A method of information protection for collaborative deep learning under GAN model attack
X Yan, B Cui, Y Xu, P Shi… - IEEE/ACM Transactions on …, 2019 - ieeexplore.ieee.org
Deep learning is widely used in the medical field owing to its high accuracy in medical
image classification and biological applications. However, under collaborative deep …
image classification and biological applications. However, under collaborative deep …
Fault diagnosis of machines using deep convolutional beta-variational autoencoder
G Dewangan, S Maurya - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
Industries are using fault diagnosis methods to prevent any downtime, which eventually led
them to make profits and take necessary steps beforehand to avoid any mishaps. In recent …
them to make profits and take necessary steps beforehand to avoid any mishaps. In recent …
Condition monitoring of machines using fused features from EMD-based local energy with DNN
Several data-driven methods such as signal processing and machine learning exist
separately to analyze non-linear and non-stationary data but their performance degrades …
separately to analyze non-linear and non-stationary data but their performance degrades …
Condition-based monitoring in variable machine running conditions using low-level knowledge transfer with DNN
Traditional machine learning methods assume that training and testing data must be from
the same machine running condition (MRC) and drawn from the same distribution. However …
the same machine running condition (MRC) and drawn from the same distribution. However …
Graph-based change detection for condition monitoring of rotating machines: Techniques for graph similarity
Detection of structural changes in machine state attracts increasing attention for the
monitoring and prognosis of rotating machinery. Very recently, the graph model has been …
monitoring and prognosis of rotating machinery. Very recently, the graph model has been …
Industrial cyber-physical system for condition-based monitoring in manufacturing processes
Nowadays, manufacturing processes is adopting solutions with more sensoring systems on
the basis of Industrial Cyber-Physical System (ICPS) approaches in order to carry out real …
the basis of Industrial Cyber-Physical System (ICPS) approaches in order to carry out real …
Quick learning mechanism with cross-domain adaptation for intelligent fault diagnosis
The fault diagnostic model trained for a laboratory case machine fails to perform well on the
industrial machines running under variable operating conditions. For every new operating …
industrial machines running under variable operating conditions. For every new operating …
Feature selection
NK Verma, A Salour, NK Verma, A Salour - Intelligent Condition Based …, 2020 - Springer
As detailed in Chap. 4, features have been extracted from the pre-processed data. Too many
features may lead to the curse of dimensionality issues. This chapter explains how to obtain …
features may lead to the curse of dimensionality issues. This chapter explains how to obtain …
Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches
Anomalies indicate impending failures in expensive industrial devices. Manufacturers of
such devices or Plant Managers depend heavily on anomaly detection algorithms to perform …
such devices or Plant Managers depend heavily on anomaly detection algorithms to perform …
Condition based monitoring of machine using Mamdani fuzzy network
In recent years, learning algorithms have been proved to learn abstract hierarchical pattern
in the data and provides a better generalization. In this paper, intricate fuzzy patterns in the …
in the data and provides a better generalization. In this paper, intricate fuzzy patterns in the …