Predictive monitoring of incipient faults in rotating machinery: a systematic review from data acquisition to artificial intelligence
Predictive maintenance is one of the major tasks in today's modern industries. All rotating
machines consisting of rotating elements such as gears, bearings etc are considered as the …
machines consisting of rotating elements such as gears, bearings etc are considered as the …
Non-invasive inspections: A review on methods and tools
M Alotaibi, B Honarvar Shakibaei Asli, M Khan - Sensors, 2021 - mdpi.com
Non-Invasive Inspection (NII) has become a fundamental tool in modern industrial
maintenance strategies. Remote and online inspection features keep operators fully aware …
maintenance strategies. Remote and online inspection features keep operators fully aware …
Percussion-based bolt looseness monitoring using intrinsic multiscale entropy analysis and BP neural network
In this paper, a novel percussion-based bolt looseness monitoring approach using intrinsic
multiscale entropy analysis and back propagation (BP) neural network is proposed. The …
multiscale entropy analysis and back propagation (BP) neural network is proposed. The …
Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion
Gearbox is a critical transmission component in the drivetrain of wind turbine having a
dominant failure rate and a highest downtime loss among all wind turbine subsystems …
dominant failure rate and a highest downtime loss among all wind turbine subsystems …
Research of planetary gear fault diagnosis based on permutation entropy of CEEMDAN and ANFIS
M Kuai, G Cheng, Y Pang, Y Li - Sensors, 2018 - mdpi.com
For planetary gear has the characteristics of small volume, light weight and large
transmission ratio, it is widely used in high speed and high power mechanical system. Poor …
transmission ratio, it is widely used in high speed and high power mechanical system. Poor …
A Study of Fault Signal Noise Reduction Based on Improved CEEMDAN-SVD
S Zhao, L Ma, L Xu, M Liu, X Chen - Applied Sciences, 2023 - mdpi.com
In light of the challenges posed by the complex structural characteristics and significant
coupling of vibration signals in rotating machinery, this study proposes an adaptive noise …
coupling of vibration signals in rotating machinery, this study proposes an adaptive noise …
CEEMDAN‐Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral‐Bevel Gears
L Jiang, H Tan, X Li, L Chen, D Yang - Shock and Vibration, 2019 - Wiley Online Library
A spiral‐bevel gear is a basic transmission component and is widely used in mechanical
equipment; thus, it is important to monitor and diagnose its running state to ensure safe …
equipment; thus, it is important to monitor and diagnose its running state to ensure safe …
Composite multi-scale basic scale Entropy based on CEEMDAN and its application in hydraulic pump fault diagnosis
X Liu, X Yang, F Shao, W Liu, F Zhou, C Hu - IEEE Access, 2021 - ieeexplore.ieee.org
The hydraulic pump plays a very important role in the safe and stable operation of the
hydraulic system. Once it fails, it will cause immeasurable losses to the entire hydraulic …
hydraulic system. Once it fails, it will cause immeasurable losses to the entire hydraulic …
[HTML][HTML] Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa
S Krishnamurthy, OB Adewuyi, E Luwaca… - Energy Conversion and …, 2024 - Elsevier
The regional energy demand for Southern Africa has been predicted to increase by ten to
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …
fourteen times between the years 2010 and 2070. Thus, to address the proliferation of …
MODWT and VMD based intelligent gearbox early stage fault detection approach
Gearbox, a crucial constituent of any plant machinery, always requires special attention as it
has to perform under considerable environmental conditions throughout its service life …
has to perform under considerable environmental conditions throughout its service life …