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。Condition Monitoring of Rolling Bearing Based on Multi-Order FRFT and SSA-DBN
Jie Ma et al.
SYMMETRY-BASEL (2022)
Combined Remaining Life Prediction of Multiple Bearings Based on EEMD-BILSTM
Yujie Zhan et al.
SYMMETRY-BASEL (2022)
Multi-Sensor Data Driven with PARAFAC-IPSO-PNN for Identification of Mechanical Nonstationary Multi-Fault Mode
Hanxin Chen et al.
MACHINES (2022)
A Comparative Study to Predict Bearing Degradation Using Discrete Wavelet Transform (DWT), Tabular Generative Adversarial Networks (TGAN) and Machine Learning Models
Keval Bhavsar et al.
MACHINES (2022)
Remaining useful life prediction techniques for electric valves based on convolution auto encoder and long short term memory
Hang Wang et al.
ISA TRANSACTIONS (2021)
Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network
Xin Wang et al.
MEASUREMENT (2021)
A fault diagnosis method for loose slipper failure of piston pump in construction machinery under changing load
Hongbin Tang et al.
APPLIED ACOUSTICS (2021)
Intelligent Fault Diagnosis of Hydraulic Piston Pump Based on Wavelet Analysis and Improved AlexNet
Yong Zhu et al.
SENSORS (2021)
Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction
Meng Ma et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Research on Prediction Method of Hydraulic Pump Remaining Useful Life Based on KPCA and JITL
Zhenbao Li et al.
APPLIED SCIENCES-BASEL (2021)
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
Dulari Bhatt et al.
ELECTRONICS (2021)
Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao et al.
MEASUREMENT (2021)
Fault Diagnosis of Main Pump in Converter Station Based on Deep Neural Network
Qingsheng Zhao et al.
SYMMETRY-BASEL (2021)
Degradation State Partition and Compound Fault Diagnosis of Rolling Bearing Based on Personalized Multilabel Learning
Xin Ma et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Hydraulic piston pump in civil aircraft: Current status, future directions and critical technologies
Shengrong Guo et al.
CHINESE JOURNAL OF AERONAUTICS (2020)
Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network
Jun Wu et al.
ISA TRANSACTIONS (2020)
Interpretation of intelligence in CNN-pooling processes: a methodological survey
Nadeem Akhtar et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
Xiang Li et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2020)
Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion
Fan Xu et al.
APPLIED SOFT COMPUTING (2020)
Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges
Jonas Fausing Olesen et al.
SENSORS (2020)
A novel health indicator based on the Lyapunov exponent, a probabilistic self -organizing map, and the Gini-Simpson index for calculating the RUL of bearings
Akhand Rai et al.
MEASUREMENT (2020)
A new hybrid model of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine for fault diagnosis of gear pump
Yan Lu et al.
ADVANCES IN MECHANICAL ENGINEERING (2020)
A Mathematical Model for the COVID-19 Outbreak and Its Applications
Roman Cherniha et al.
SYMMETRY-BASEL (2020)
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
Behnoush Rezaeianjouybari et al.
MEASUREMENT (2020)
A Sparse Autoencoder-Based Unsupervised Scheme for Pump Fault Detection and Isolation
Xiaoxia Liang et al.
APPLIED SCIENCES-BASEL (2020)
An Integrated Deep Learning Method towards Fault Diagnosis of Hydraulic Axial Piston Pump
Shengnan Tang et al.
SENSORS (2020)
Remaining Useful Life Prediction Based on the Bayesian Regularized Radial Basis Function Neural Network for an External Gear Pump
Rui Guo et al.
IEEE ACCESS (2020)
Deep Learning-Based Intelligent Fault Diagnosis Methods Toward Rotating Machinery
Shengnan Tang et al.
IEEE ACCESS (2020)
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
Yong Yu et al.
NEURAL COMPUTATION (2019)
Pairwise comparison learning based bearing health quantitative modeling and its application in service life prediction
Jin Cui et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Study on a Fault Identification Method of the Hydraulic Pump Based on a Combination of Voiceprint Characteristics and Extreme Learning Machine
Wanlu Jiang et al.
PROCESSES (2019)
Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model
Hassan A. Babikir et al.
ALEXANDRIA ENGINEERING JOURNAL (2019)
Deep learning and its applications to machine health monitoring
Rui Zhao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Investigation of effect of pump rotational speed on performance and detection of cavitation within a centrifugal pump using vibration analysis
Ahmed Ramadhan Al-Obaidi
HELIYON (2019)
Convolutional Autoencoder-Based Multispectral Image Fusion
Arian Azarang et al.
IEEE ACCESS (2019)
Fault diagnosis on slipper abrasion of axial piston pump based on Extreme Learning Machine
Yuan Lan et al.
MEASUREMENT (2018)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components
Jason Deutsch et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)
Deep learning for Arabic NLP: A survey
Mahmoud Al-Ayyoub et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2018)
Vibration and dynamic loads in external gear pumps
W. Fiebig et al.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING (2015)
Autoencoder for words
Cheng-Yuan Liou et al.
NEUROCOMPUTING (2014)
分享论文
