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。Autonomous bolt loosening detection using deep learning
Yang Zhang et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2020)
Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model
Hai Chien Pham et al.
SENSORS (2020)
Ensemble deep learning-based fault diagnosis of rotor bearing systems
Sai Ma et al.
COMPUTERS IN INDUSTRY (2019)
A Vibration Signal-Based Method for Fault Identification and Classification in Hydraulic Axial Piston Pumps
Paolo Casoli et al.
ENERGIES (2019)
Bolt early looseness monitoring using modified vibro-acoustic modulation by time-reversal
Furui Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization
Lin Liang et al.
APPLIED SCIENCES-BASEL (2019)
Bolt loosening angle detection technology using deep learning
Xuefeng Zhao et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2019)
Tapping and listening: a new approach to bolt looseness monitoring
Qingzhao Kong et al.
SMART MATERIALS AND STRUCTURES (2018)
A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
Dahai Zhang et al.
IEEE ACCESS (2018)
A Novel Fractal Contact-Electromechanical Impedance Model for Quantitative Monitoring of Bolted Joint Looseness
Furui Wang et al.
IEEE ACCESS (2018)
Self-Loosening Failure Analysis of Bolt Joints under Vibration considering the Tightening Process
Yan Chen et al.
SHOCK AND VIBRATION (2017)
Vision-based detection of loosened bolts using the Hough transform and support vector machines
Young-Jin Cha et al.
AUTOMATION IN CONSTRUCTION (2016)
Gearbox Fault Identification and Classification with Convolutional Neural Networks
ZhiQiang Chen et al.
SHOCK AND VIBRATION (2015)
Vision-based technique for bolt-loosening detection in wind turbine tower
Jae-Hyung Park et al.
WIND AND STRUCTURES (2015)
Detecting Loosening of Bolted Connections in a Pipeline Using Changes in Natural Frequencies
K. He et al.
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME (2014)
Improvement of a vibration-based damage detection approach for health monitoring of bolted flange joints in pipelines
Pejman Razi et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2013)
Review of Bolted Connection Monitoring
Tao Wang et al.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2013)
Piezo-impedance transducers for residual fatigue life assessment of bolted steel joints
Suresh Bhalla et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2012)
Time-frequency feature representation using energy concentration: An overview of recent advances
Ervin Sejdic et al.
DIGITAL SIGNAL PROCESSING (2009)
Random forests classifier for machine fault diagnosis
Bo-Suk Yang et al.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY (2008)
Combination of longitudinal and transverse ultrasonic waves for in situ control of the tightening of bolts
Salim Chaki et al.
JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME (2007)
Estimation of clamping force in high-tension bolts through ultrasonic velocity measurement
Kyung-Young Jhang et al.
ULTRASONICS (2006)
Use of data-driven phase space models in assessing the strength of a bolted connection in a composite beam
JM Nichols et al.
SMART MATERIALS AND STRUCTURES (2004)
Quantitative health monitoring of bolted joints using a piezoceramic actuator-sensor
S Ritdumrongkul et al.
SMART MATERIALS AND STRUCTURES (2004)
分享论文
