A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
出版年份 2018 全文链接
标题
A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
作者
关键词
-
出版物
SENSORS
Volume 18, Issue 5, Pages 1429
出版商
MDPI AG
发表日期
2018-05-07
DOI
10.3390/s18051429
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
- (2017) Wei Zhang et al. SENSORS
- Multiscale CNNs for Brain Tumor Segmentation and Diagnosis
- (2016) Liya Zhao et al. Computational and Mathematical Methods in Medicine
- MO-DE-207B-06: Computer-Aided Diagnosis of Breast Ultrasound Images Using Transfer Learning From Deep Convolutional Neural Networks
- (2016) B Huynh et al. MEDICAL PHYSICS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier
- (2013) Changqing Shen et al. MEASUREMENT
- Single and multi-stage phase demodulation based order-tracking
- (2013) Michael D. Coats et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of the Wigner–Ville distribution for the detection of rotor asymmetries and eccentricity through high-order harmonics
- (2012) V. Climente-Alarcon et al. ELECTRIC POWER SYSTEMS RESEARCH
- 3D Convolutional Neural Networks for Human Action Recognition
- (2012) Shuiwang Ji et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Vibration based fault diagnosis of monoblock centrifugal pump using decision tree
- (2009) N.R. Sakthivel et al. EXPERT SYSTEMS WITH APPLICATIONS
- BASE WAVELET SELECTION FOR BEARING VIBRATION SIGNAL ANALYSIS
- (2009) RUQIANG YAN et al. International Journal of Wavelets Multiresolution and Information Processing
- Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs
- (2009) Yaguo Lei et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform
- (2009) Yanxue Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of the EEMD method to rotor fault diagnosis of rotating machinery
- (2008) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault diagnosis based on Walsh transform and rough sets
- (2008) Xiuqiao Xiang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started