Elevator vibration signal denoising by deep residual U-Net
Authors:
- Pengdong XiePXPengdong Xie
- Linxuan ZhangLZLinxuan Zhang
- Minghong LiMLMinghong Li
- Shing Fung Sean LauSLShing Fung Sean Lau
- Jinhui HuangJHJinhui Huang
- 5 December 2023
- journal article
- research article
- Published by Elsevier in Measurement
- Vol. 225
Abstract
No abstract availableKeywords
Funding Information
- Innovation and Technology Commission - Hong Kong
- Natural Science Foundation of Xinjiang (2022D01C431)
This publication has 42 references indexed in Scilit:
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image DenoisingIEEE Transactions on Image Processing, 2017
- Application of wavelet de-noising method in vibration signal analysis of elevator car2016
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
- Deep Residual Learning for Image Recognition2016
- Wavelet transform based on inner product in fault diagnosis of rotating machinery: A reviewMechanical Systems and Signal Processing, 2016
- Elevator Acceleration Sensing: Design and Estimation Recognition Algorithm Using Crowdsourcing2013
- The synchronous (time domain) average revisitedMechanical Systems and Signal Processing, 2011
- Chaotic time series prediction and additive white Gaussian noisePhysics Letters A, 2007
- Calculating the dimension of attractors from small data setsPhysics Letters A, 1986
- Characterization of Strange AttractorsPhysical Review Letters, 1983