Learnable faster kernel-PCA for nonlinear fault detection: Deep autoencoder-based realization

Type: Article

Publication Date: 2024-05-03

Citations: 3

DOI: https://doi.org/10.1016/j.jii.2024.100622

View Chat PDF

Locations

  • Journal of Industrial Information Integration - View
  • arXiv (Cornell University) - View - PDF

Similar Works

Action Title Year Authors
+ PDF Chat Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization 2021 Zelin Ren
Xuebing Yang
Yuchen Jiang
Wensheng Zhang
+ PDF Chat Learnable Faster Kernel-Pca for Nonlinear Fault Detection: Deep Autoencoder-Based Realization 2023 Zelin Ren
Yuchen Jiang
Xuebing Yang
Yongqiang Tang
Wensheng Zhang
Yue Yu
+ Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization 2021 Zelin Ren
Xuebing Yang
Yuchen Jiang
Wensheng Zhang
+ PDF Chat Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge 2024 Zhongzhi Li
Jingqi Tu
Jiacheng Zhu
Jianliang Ai
Yiqun Dong
+ PDF Chat Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge 2024 Zhongzhi Li
Jingqi Tu
Jiacheng Zhu
Rong Fan
Jianliang Ai
Yiqun Dong
+ PDF Chat Quadratic Neuron-empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection 2024 Jing-Xiao Liao
Bojian Hou
Hangcheng Dong
Hao Zhang
Xiaoge Zhang
Jinwei Sun
Shiping Zhang
Fenglei Fan
+ PDF Chat Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application 2019 Te Han
Chao Liu
Wenguang Yang
Dongxiang Jiang
+ Heterogeneous Autoencoder Empowered by Quadratic Neurons 2022 Jing-Xiao Liao
Bojian Hou
Hangcheng Dong
Hao Zhang
Siwei Ma
Jinwei Sun
Shiping Zhang
Fenglei Fan
+ PDF Chat A comprehensive review on convolutional neural network in machine fault diagnosis 2020 Jinyang Jiao
Ming Zhao
Jing Lin
Kaixuan Liang
+ Resilience of Deep Learning applications: a systematic survey of analysis and hardening techniques 2023 Cristiana Bolchini
Luca Cassano
Antonio Miele
+ A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends 2019 Saptarshi Sengupta
Sanchita Basak
Pallabi Saikia
Sayak Paul
Vasilios Tsalavoutis
Frederick Ditliac Atiah
Vadlamani Ravi
Richard Alan Peters
+ Neural Component Analysis for Fault Detection 2017 Haitao Zhao
+ Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA 2019 Moshe Kravchik
Asaf Shabtai
+ Efficient Cyber Attacks Detection in Industrial Control Systems Using Lightweight Neural Networks and PCA 2019 Moshe Kravchik
Asaf Shabtai
+ PDF Chat The deep kernelized autoencoder 2018 Michael Kampffmeyer
Sigurd Løkse
Filippo Maria Bianchi
Robert Jenssen
Lorenzo Livi
+ PDF Chat Fault detection and identification using Bayesian recurrent neural networks 2020 Weike Sun
António R. C. Paiva
Peng Xu
Anantha Sundaram
Richard D. Braatz
+ PDF Chat Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge 2024 Zhongzhi Li
Jingqi Tu
Jiacheng Zhu
Jianliang Ai
Yiqun Dong
+ PDF Chat DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning 2024 Ovanes Petrosyan
Pengyi Li
Yulong He
Jiarui Liu
Sun Zhaoruikun
Fu Guofeng
Liping Meng
+ Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics. 2019 Manuel Arias Chao
Bryan T. Adey
Olga Fink
+ Can't Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks 2020 Moshe Kravchik
Asaf Shabtai

Cited by (0)

Action Title Year Authors