Elaborative Stepwise Stacked Artificial Neural Network For Hydraulic Elevator Fault Detection in Industrial IoT

This publication has 39 references indexed in Scilit:

• Fault detection and diagnosis in refrigeration systems using machine learning algorithms
  International Journal of Refrigeration, 2022
• A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems
  Information Sciences, 2022
• Existing Technologies and Solutions in 5G-Enabled IoT for Industrial Automation
  2021
• Comparison analysis of IoT based industrial automation and improvement of different processes – review
  Materials Today: Proceedings, 2021
• Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
  ISA Transactions, 2020
• Cluster-tree based energy efficient data gathering protocol for industrial automation using WSNs and IoT
  Journal of Industrial Information Integration, 2020
• End-to-end CNN + LSTM deep learning approach for bearing fault diagnosis
  Applied Intelligence, 2020
• Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
  ISA Transactions, 2020
• Nuclear power plant sensor fault detection using singular value decomposition-based method
  Sādhanā, 2017
• Convolutional Neural Network Based Fault Detection for Rotating Machinery
  Journal of Sound and Vibration, 2016