Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis

J Guo, Q He, D Zhen, F Gu, AD Ball - Reliability Engineering & System …, 2023 - Elsevier
When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …

Fault diagnosis of key components in the rotating machinery based on Fourier transform multi-filter decomposition and optimized LightGBM

C Zhang, L Kong, Q Xu, K Zhou… - … Science and Technology, 2020 - iopscience.iop.org
Rotating machinery is a primary element of mechanical equipment, and thus fault diagnosis
of its key components is very important to improve the reliability and safety of modern …

A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests

Q Hu, XS Si, QH Zhang, AS Qin - Mechanical systems and signal …, 2020 - Elsevier
Fault diagnosis methods based on dimensionless indicators have long been studied for
rotating machinery. However, traditional dimensionless indicators frequently suffer a low …

A novel multi-segment feature fusion based fault classification approach for rotating machinery

J Liang, Y Zhang, JH Zhong, H Yang - Mechanical Systems and Signal …, 2019 - Elsevier
Accurate and efficient rotating machinery fault diagnosis is crucial for industries to guarantee
the productivity and reduce the maintenance cost. This paper systematically proposes a new …

Fault diagnosis approach for rotating machinery based on dynamic model and computational intelligence

J Zhang, W Ma, J Lin, L Ma, X Jia - Measurement, 2015 - Elsevier
In order to achieve accurate diagnosis for rotating machinery automatically and considering
that test data under actual fault conditions are rather difficult to obtain, a novel fault diagnosis …

Fault diagnosis of rotating machinery based on multiple probabilistic classifiers

JH Zhong, PK Wong, ZX Yang - Mechanical Systems and Signal …, 2018 - Elsevier
Intelligent fault diagnosis of rotating machinery is vital for industries to improve fault
prediction performance and reduce the maintenance cost. The new fault diagnostic …

A GOA-MSVM based strategy to achieve high fault identification accuracy for rotating machinery under different load conditions

J Zhang, J Zhang, M Zhong, J Zheng, L Yao - Measurement, 2020 - Elsevier
Identifying fault of rotating machinery under different load conditions with high accuracy is a
remaining challenge for vibration signal based fault diagnosis. Aiming at this challenge, this …

An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies

Y Wang, J Zhou, L Zheng, C Gogu - Journal of Intelligent Manufacturing, 2022 - Springer
The fault diagnostics of rotating components are crucial for most mechanical systems since
the rotating components faults are the main form of failures of many mechanical systems. In …

A novel fault diagnosis method of rotating machinery via VMD, CWT and improved CNN

J Gu, Y Peng, H Lu, X Chang, G Chen - Measurement, 2022 - Elsevier
The rolling bearings play a vital role in mechanical production and transportation. However,
when it appears abnormal, the fault characteristics are weak and different to be extracted in …

Principal component analysis approach for detecting faults in rotary machines based on vibrational and electrical fused data

M Elsamanty, A Ibrahim, WS Salman - Mechanical Systems and Signal …, 2023 - Elsevier
Rotating machines are frequently used in industrial applications. However, due to their
severity, mechanical failures such as rotor imbalance, shaft imbalance, pulley imbalance …