Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review

2022/11/18 by Jianbo Yu, Yue Zhang · 2 citations
Engineering · #Fault Detection and Control Systems #Industrial Vision Systems and Defect Detection #Mineral Processing and Grinding

paper · doi:10.1007/s00521-022-08017-3

openalex publication_date 2022/11/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Citations

• Nonlinear process monitoring using kernel principal component analysis
• Long Short-Term Memory
• Deep Learning in Neural Networks: An Overview
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Training Products of Experts by Minimizing Contrastive Divergence
• Nearest neighbor pattern classification
• Deep Gaussian mixture models
• Recent advances in convolutional neural networks
• Applications of machine learning to machine fault diagnosis: A review and roadmap

Cited by

• An Uncertainty-Aware Deep Learning Model for Reliable Detection of Steel Wire Rope Defects
• EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures