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Prognostics and health management: A review on data driven approaches
Prognostics and health management (PHM) is a framework that offers comprehensive yet
individualized solutions for managing system health. In recent years, PHM has emerged as …
individualized solutions for managing system health. In recent years, PHM has emerged as …
Bearing health monitoring based on Hilbert–Huang transform, support vector machine, and regression
The detection, diagnostic, and prognostic of bearing degradation play a key role in
increasing the reliability and safety of electrical machines, especially in key industrial …
increasing the reliability and safety of electrical machines, especially in key industrial …
A combined polynomial chirplet transform and synchroextracting technique for analyzing nonstationary signals of rotating machinery
Time-frequency analysis (TFA) technique is an effective approach to capture the changing
dynamic in a nonstationary signal. However, the commonly adopted TFA techniques are …
dynamic in a nonstationary signal. However, the commonly adopted TFA techniques are …
Remaining useful life prediction for rolling bearings using EMD-RISI-LSTM
R Guo, Y Wang, H Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Bearings are applied in rotating machinery commonly, and the effective prediction of
remaining useful life (RUL) plays an increasingly crucial role in establishing reasonable …
remaining useful life (RUL) plays an increasingly crucial role in establishing reasonable …
Bearing degradation evaluation using recurrence quantification analysis and Kalman filter
This paper presents an integrated approach, which combines recurrence quantification
analysis (RQA) with the Kalman filter, for bearing degradation evaluation. The RQA, a …
analysis (RQA) with the Kalman filter, for bearing degradation evaluation. The RQA, a …
Development of an improved time–frequency analysis-based nonintrusive load monitor for load demand identification
In a smart house connected to a smart grid via advanced metering infrastructure, a
nonintrusive load monitor (NILM) that identifies individual appliances by disaggregating …
nonintrusive load monitor (NILM) that identifies individual appliances by disaggregating …
A non-linear time–frequency tool for machinery fault diagnosis under varying speed condition
Vibration signals acquired from rotating machines operating under varying speed condition
often exhibit strong frequency modulation. Conventional time–frequency analysis …
often exhibit strong frequency modulation. Conventional time–frequency analysis …
Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system
A permanent magnet synchronous motor (PMSM) is a typical electromechanical system
widely used in industrial automation. Bearing fault diagnosis is necessary because a …
widely used in industrial automation. Bearing fault diagnosis is necessary because a …
Weak fault feature extraction of rolling bearings using local mean decomposition-based multilayer hybrid denoising
Extraction of the weak fault features under strong background noise is crucial to early fault
diagnosis in bearings. A new method called local mean decomposition (LMD)-based …
diagnosis in bearings. A new method called local mean decomposition (LMD)-based …
Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings
The analysis of vibration or acoustic signals is most widely used in the health diagnosis of
rolling element bearings. One of the main challenges for vibration or acoustic bearing …
rolling element bearings. One of the main challenges for vibration or acoustic bearing …