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。An Energy Aware Intelligent Fault Detection Scheme for IoT-Enabled WSNs
Gagandeep Kaur et al.
IEEE SENSORS JOURNAL (2022)
Big data analytics for intelligent manufacturing systems: A review
Junliang Wang et al.
JOURNAL OF MANUFACTURING SYSTEMS (2022)
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Tianfu Li et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)
An Intelligent Fault Diagnosis Method of Rolling Bearings via Variational Mode Decomposition and Common Spatial Pattern-Based Feature Extraction
Zhaolun Li et al.
IEEE SENSORS JOURNAL (2022)
ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions
Yinjun Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)
A Lightweight Deep Learning Algorithm for WiFi-Based Identity Recognition
Yangjie Cao et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Applications of Digital Signal Processing in Monitoring Machining Processes and Rotary Components: A Review
Deepam Goyal et al.
IEEE SENSORS JOURNAL (2021)
Manifold Sensing-Based Convolution Sparse Self-Learning for Defective Bearing Morphological Feature Extraction
Quanchang Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Edge and fog computing for IoT: A survey on current research activities & future directions
Mohammed Laroui et al.
COMPUTER COMMUNICATIONS (2021)
Profit-Maximized Collaborative Computation Offloading and Resource Allocation in Distributed Cloud and Edge Computing Systems
Haitao Yuan et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2021)
Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis
Xiaoxian Wang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)
Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions
Luke Zhang et al.
IEEE ACCESS (2021)
Fault diagnosis of various rotating equipment using machine learning approaches - A review
S. Manikandan et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING (2021)
Interpretable Convolutional Neural Network Through Layer-wise Relevance Propagation for Machine Fault Diagnosis
John Grezmak et al.
IEEE SENSORS JOURNAL (2020)
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
Lei Deng et al.
PROCEEDINGS OF THE IEEE (2020)
Deep Residual Shrinkage Networks for Fault Diagnosis
Minghang Zhao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
DCNN-Based Multi-Signal Induction Motor Fault Diagnosis
Siyu Shao et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis
Huan Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
Zhibin Zhao et al.
ISA TRANSACTIONS (2020)
Bearing Intelligent Fault Diagnosis in the Industrial Internet of Things Context: A Lightweight Convolutional Neural Network
Yanxin Wang et al.
IEEE ACCESS (2020)
Accurate separation of amplitude-modulation and phase-modulation signal and its application to gear fault diagnosis
Xiaoqing Yang et al.
JOURNAL OF SOUND AND VIBRATION (2019)
Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data
Gang Qian et al.
IEEE SENSORS JOURNAL (2019)
Phenomenon-model-based AM-FM vibration mechanism of faulty spur gear
Xiaoqing Yang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Deep Learning and Reconfigurable Platforms in the Internet of Things Challenges and Opportunities in Algorithms and Hardware
Roberto Fernandez Molanes et al.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2018)
IoT-Enabled Parking Space Sharing and Allocation Mechanisms
Xiang T. R. Kong et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2018)
Machine health management in smart factory: A review
Gil-Yong Lee et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2018)
Artificial intelligence for fault diagnosis of rotating machinery: A review
Ruonan Liu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
A review on data-driven fault severity assessment in rolling bearings
Mariela Cerrada et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Analysis of Statistical Time-Domain Features Effectiveness in Identification of Bearing Faults From Vibration Signal
B. R. Nayana et al.
IEEE SENSORS JOURNAL (2017)
Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis
Xiaoxi Ding et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
An Information Fusion Fault Diagnosis Method Based on Dimensionless Indicators With Static Discounting Factor and KNN
Jianbin Xiong et al.
IEEE SENSORS JOURNAL (2016)
Distributed bearing fault diagnosis based on vibration analysis
Bostjan Dolenc et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
Jinglong Chen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Edge Computing: Vision and Challenges
Weisong Shi et al.
IEEE INTERNET OF THINGS JOURNAL (2016)
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Fuzzy Diagnosis Method for Rotating Machinery in Variable Rotating Speed
Huaqing Wang et al.
IEEE SENSORS JOURNAL (2011)
分享论文
