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 Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models
Wasim Ahmad et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network
Lei Ren et al.
IEEE ACCESS (2018)
Analysis and detection of a wind system failure in a micro-grid
Mehdi Hosseinzadeh et al.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2016)
An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings
Naipeng Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
An intelligent condition-based maintenance platform for rotating machinery
Van Tung Tran et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Condition based maintenance optimization for multi-component systems using proportional hazards model
Zhigang Tian et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2011)
Models for bearing damage detection in induction motors using stator current monitoring
Martin Bloedt et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2008)
Sensor-driven prognostic models for equipment replacement and spare parts inventory
Alaa H. Elwany et al.
IIE TRANSACTIONS (2008)
Sensory-updated residual life distributions for components with exponential degradation patterns
Nagi Gebraeel
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2006)
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
H Qiu et al.
JOURNAL OF SOUND AND VIBRATION (2006)
Residual life, predictions from vibration-based degradation signals: A neural network approach
N Gebraeel et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2004)
分享论文
