A hybrid approach for gearbox fault diagnosis based on deep learning techniques

This publication has 50 references indexed in Scilit:

• MFCC in audio signal processing for voice disorder: a review
  Multimedia Tools and Applications, 2024
• MFCC based real-time speech reproduction and recognition using distributed acoustic sensing technology
  Optoelectronics Letters, 2024
• Damage assessment of composite material based on variational mode decomposition and BiLSTM
  The International Journal of Advanced Manufacturing Technology, 2023
• A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion
  Artificial Intelligence Review, 2022
• Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
  Artificial Intelligence Review, 2022
• A multi-rate sampling data fusion method for fault diagnosis and its industrial applications
  Journal of Process Control, 2021
• A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis
  Journal of Intelligent Manufacturing, 2020
• Multi-fault diagnosis of rotating machinery based on deep convolution neural network and support vector machine
  Measurement, 2020
• Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy
  Energy, 2019
• Bearing Fault Diagnosis of a PWM Inverter Fed-Induction Motor Using an Improved Short Time Fourier Transform
  Journal of Electrical Engineering & Technology, 2019