- Applications of machine learning in real|time control systems🔍
- A Change Point Detection Integrated Remaining Useful Life ...🔍
- A new intelligent fault diagnosis and prognosis method for wind ...🔍
- Adaptive deep learning|based remaining useful life prediction ...🔍
- All you want to know about determining remaining useful life 🔍
- Predictive Maintenance with MATLAB🔍
- Prediction of remaining useful life by data augmentation technique ...🔍
- Advances in Computer Science Research🔍
Fault Diagnosis and RUL Prediction Strategy Based on Double Time ...
Applications of machine learning in real-time control systems: a review
... based fault prediction method, optimizing SVM parameters using adaptive evolution strategy. ... Based on fault prediction, RUL prediction ...
A Change Point Detection Integrated Remaining Useful Life ... - arXiv
This paper proposes a novel temporal dynamics learning-based model for detecting change points of individual devices, even under variable operating conditions.
A new intelligent fault diagnosis and prognosis method for wind ...
(2019) for RUL prediction of DFIG WT gearbox bearing. In Cheng et al. (2017a), the RUL prediction is conducted based on the structure of Cheng ...
Adaptive deep learning-based remaining useful life prediction ...
It is difficult to use them in engineering systems with multiple failure modes (FMs) under various operation conditions (OCs). This work proposes an adaptive ...
Rui He - ERA - University of Alberta
2.3.3 RUL prediction considering suspension histories. In this section, SRGAN is developed for RUL prediction based on the failure and suspension histories ...
All you want to know about determining remaining useful life (RUL ...
Solving the RUL estimation problem also helps identify the factors that reduce RUL (i.e., if the red dotted line in the example above moves to ...
Predictive Maintenance with MATLAB: A Data-Based Approach
And these tasks-- we define them as anomaly detection, condition monitoring, and remaining useful life estimation. So to answer these three ...
Prediction of remaining useful life by data augmentation technique ...
Diagnostics focuses on estimation of degradation level of component or system and identification of root causes of failure. Prognostics predicts the occurrence ...
Advances in Computer Science Research | Atlantis Press
A weak signal detection method based on double time difference collaborative mechanism is proposed. In this thesis, the double time difference collaborative ...
A RUL prediction method of rolling bearings based on degradation ...
A degradation detection strategy was used to determine the degradation starting time for setting piecewise linear network label. The RUL prediction model based ...
Intelligent Fault Diagnosis and Remaining Useful Life Prediction of ...
Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery provides a comprehensive introduction of intelligent fault diagnosis ...
Digital-Triplet: a new three entities digital-twin paradigm for ...
... based on automatic fault detection and diagnostics ... Fault diagnosis and RUL prediction strategy based on double time-scale particle filter for nonlinear ...
Program - International Workshop on Complex-systems for Future ...
Bearing fault diagnosis based on convolution neural network ... combining algorithm and neural network is proposed for RUL prediction. ... Abstract: This study ...
Fault Diagnosis and Prediction of Remaining Useful Life (RUL) of ...
The estimation of a bearing Remaining Useful Life (RUL) is of significant importance in predictive maintenance strategies to avoid unexpected ...
Predict Remaining Useful Life (RUL) - MATLAB & Simulink
Typically, you estimate the RUL of a system by developing a model that can perform the estimation based on the time evolution or statistical properties of ...