An elevator door anomaly detection method based on improved deep multi-sphere support vector data description

This publication has 31 references indexed in Scilit:

• Anomaly detection for construction vibration signals using unsupervised deep learning and cloud computing
  Advanced Engineering Informatics, 2023
• Machine learning based models for defect detection in composites inspected by Barker coded thermography: A qualitative analysis
  Advances in Engineering Software, 2023
• Process monitoring of nonlinear uncertain systems based on Part Interval Stacked Autoencoder and Support Vector Data Description
  Applied Soft Computing, 2022
• Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders
  Computers and Electrical Engineering, 2022
• Vibration signal-based early fault prognosis: Status quo and applications
  Advanced Engineering Informatics, 2022
• Autoencoder-based anomaly detection for surface defect inspection
  Advanced Engineering Informatics, 2021
• InceptionTime: Finding AlexNet for time series classification
  Data Mining and Knowledge Discovery, 2020
• Anomaly detection of defects on concrete structures with the convolutional autoencoder
  Advanced Engineering Informatics, 2020
• Understanding the effective receptive field in semantic image segmentation
  Multimedia Tools and Applications, 2018
• Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy
  Automatica, 1990