Mechanical fault diagnosis using color image recognition of vibration spectrogram based on quaternion invariable moment
DOI10.1155/2015/702760zbMath1395.94039OpenAlexW1678854553WikidataQ59118965 ScholiaQ59118965MaRDI QIDQ1666381
Yujian Qiang, Juping Gu, Ling Chen, Xinsong Zhang, Liang Hua, Hai-Rong Zhu
Publication date: 27 August 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/702760
Learning and adaptive systems in artificial intelligence (68T05) Vibrations in dynamical problems in solid mechanics (74H45) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Reliability, testing and fault tolerance of networks and computer systems (68M15) Machine vision and scene understanding (68T45)
Related Items (1)
Cites Work
- Unnamed Item
- Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed impulses
- A quantitative SNR analysis for the pseudo Wigner-Ville distribution
- Nonminimum Phase Identification Based on Higher Order Spectrum Slices
- The Synchronized Short-Time-Fourier-Transform: Properties and Definitions for Multichannel Source Separation
- The Theory of Quaternion Matrix Derivatives
- A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants
- Interpolation Artifacts in Sub-Pixel Image Registration
- Texture Classification by Modeling Joint Distributions of Local Patterns With Gaussian Mixtures
- Computer Vision - ECCV 2004
This page was built for publication: Mechanical fault diagnosis using color image recognition of vibration spectrogram based on quaternion invariable moment