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 …
A review on data-driven fault severity assessment in rolling bearings
Health condition monitoring of rotating machinery is a crucial task to guarantee reliability in
industrial processes. In particular, bearings are mechanical components used in most …
industrial processes. In particular, bearings are mechanical components used in most …
[HTML][HTML] Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
Rotating equipment is considered as a key component in several industrial sectors. In fact,
the continuous operation of many industrial machines such as sub-sea pumps and gas …
the continuous operation of many industrial machines such as sub-sea pumps and gas …
A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing
X Yan, M Jia - Neurocomputing, 2018 - Elsevier
Sensitive feature extraction from the raw vibration signal is still a great challenge for
intelligent fault diagnosis of rolling bearing. Current fault classification framework generally …
intelligent fault diagnosis of rolling bearing. Current fault classification framework generally …
The entropy algorithm and its variants in the fault diagnosis of rotating machinery: A review
Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …
A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines
It is important to minimize the unscheduled downtime of machines caused by outages of
machine components in highly automated production lines. Considering machine tools such …
machine components in highly automated production lines. Considering machine tools such …
Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection
X Yan, M Jia - Knowledge-Based Systems, 2019 - Elsevier
Intelligent fault diagnosis of rotating machinery is essentially a pattern recognition problem.
Meanwhile, effective feature extraction from the raw vibration signal is an important …
Meanwhile, effective feature extraction from the raw vibration signal is an important …
Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
The extraction of periodic impulses, which are the important indicators of rolling bearing
faults, from vibration signals is considerably significance for fault diagnosis. Maximum …
faults, from vibration signals is considerably significance for fault diagnosis. Maximum …
Incipient fault diagnosis of rolling bearings based on adaptive variational mode decomposition and Teager energy operator
R Gu, J Chen, R Hong, H Wang, W Wu - Measurement, 2020 - Elsevier
Extracting incipient fault features of rolling bearings is a hard work as the impact
compositions in vibration signals are faint and disturbed by a lot of environmental noise. An …
compositions in vibration signals are faint and disturbed by a lot of environmental noise. An …
Intelligent fault detection scheme for constant-speed wind turbines based on improved multiscale fuzzy entropy and adaptive chaotic Aquila optimization-based …
Timely and effective fault detection is essential to ensure the safe and reliable operation of
wind turbines. However, due to the complex kinematic mechanisms and harsh working …
wind turbines. However, due to the complex kinematic mechanisms and harsh working …