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A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …
machinery (RM) has a vital role in the modern industrial world. However, the remaining …
A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor
The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …
Intelligent maintenance systems and predictive manufacturing
With continued global market growth and an increasingly competitive environment,
manufacturing industry is facing challenges and desires to seek continuous improvement …
manufacturing industry is facing challenges and desires to seek continuous improvement …
Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review
A rolling bearing is an essential component of a rotating mechanical transmission system. Its
performance and quality directly affects the life and reliability of machinery. Bearings' …
performance and quality directly affects the life and reliability of machinery. Bearings' …
An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network
S Li, H Wang, L Song, P Wang, L Cui, T Lin - Measurement, 2020 - Elsevier
Intelligent diagnosis algorithms can monitor faults with industrial production of a timely
manner via their powerful learning ability. Multi-sensor diagnosis systems can more …
manner via their powerful learning ability. Multi-sensor diagnosis systems can more …
Online oil debris monitoring of rotating machinery: A detailed review of more than three decades
J Sun, L Wang, J Li, F Li, J Li, H Lu - Mechanical Systems and Signal …, 2021 - Elsevier
Oil debris monitoring has played an irreplaceable role in ascertaining the health condition of
rotating machinery (eg engine, gearbox). Although many sensing methods for detecting …
rotating machinery (eg engine, gearbox). Although many sensing methods for detecting …
Remaining useful life estimation in rolling bearings utilizing data-driven probabilistic E-support vectors regression
We report on a data-driven approach for the remaining useful life (RUL) estimation of rolling
element bearings based on ε-Support Vector Regression (ε-SVR). Lifetime data are …
element bearings based on ε-Support Vector Regression (ε-SVR). Lifetime data are …
Compound gear-bearing fault feature extraction using statistical features based on time-frequency method
LS Dhamande, MB Chaudhari - Measurement, 2018 - Elsevier
A small incipient fault in gear and bearing causes multiple faults in gear-bearing system
leading to catastrophic failure. The purpose of present study is to explore more complex …
leading to catastrophic failure. The purpose of present study is to explore more complex …
A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management
Large wind farms are gaining prominence due to increasing dependence on renewable
energy. In order to operate these wind farms reliably and efficiently, advanced maintenance …
energy. In order to operate these wind farms reliably and efficiently, advanced maintenance …