Intelligent fault diagnostic system for rotating machinery based on IoT with cloud computing and artificial intelligence techniques: a review

M Maurya, I Panigrahi, D Dash, C Malla - Soft Computing, 2024 - Springer
The important part of mechanical equipment is rotating machinery, used mostly in industrial
machinery. Rolling element bearings are the utmost dominant part in rotating machinery, so …

Cloud–edge-based lightweight temporal convolutional networks for remaining useful life prediction in iiot

L Ren, Y Liu, X Wang, J Lü… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), as an important industrial branch of the Internet of Things
(IoT), has an essential purpose to improve intelligent industrial production. For this purpose …

Enabling health monitoring approach based on vibration data for accurate prognostics

K Javed, R Gouriveau, N Zerhouni… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The performance of data-driven prognostics approaches is closely dependent on the form
and trend of extracted features. Indeed, features that clearly reflect the machine degradation …

Intelligent fault diagnosis of the high-speed train with big data based on deep neural networks

H Hu, B Tang, X Gong, W Wei… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Bogies are an important component of high-speed trains. The level of mechanical
performance of bogies has a major influence on the safety and reliability of high-speed train …

[图书][B] From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics

R Gouriveau, K Medjaher, N Zerhouni - 2016 - books.google.com
This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …

An improved multiple signal classification for nonuniform sampling in blade tip timing

Z Wang, Z Yang, S Wu, H Li, S Tian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blade tip timing (BTT) is an effective noncontact measurement technology for rotating blade
health monitoring. However, due to the mismatching between the high-speed rotation and …

[PDF][PDF] A review on vibration signal analysis techniques used for detection of rolling element bearing defects

PH Jain, SP Bhosle - SSRG Int. J. Mech. Eng, 2021 - researchgate.net
Almost all machines having rotating parts contain rolling element bearings to support the
rotating parts during power transmission. Bearing failure is a major cause of the breakdown …

Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance

E Gursel, B Reddy, A Khojandi, M Madadi… - Nuclear Engineering …, 2023 - Elsevier
Human error (HE) is an important concern in safety-critical systems such as nuclear power
plants (NPPs). HE has played a role in many accidents and outage incidents in NPPs …

[HTML][HTML] A smart experimental setup for vibration measurement and imbalance fault detection in rotating machinery

GK Yamamoto, C da Costa… - Case studies in mechanical …, 2016 - Elsevier
Rotor imbalance is the most common cause of machine vibration. In practice, rotors can
never be balanced perfectly owing to manufacturing errors such as porosity in casting, non …

A feature extraction procedure based on trigonometric functions and cumulative descriptors to enhance prognostics modeling

K Javed, R Gouriveau, N Zerhouni… - 2013 ieee conference …, 2013 - ieeexplore.ieee.org
Performances of data-driven approaches are closely related to the form and trend of
extracted features (that can be seen as time series health indicators).(1) Even if much of data …