Results 31 to 40 of about 1,261 (252)

Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random Forests

Entropy, 2019
This study presents a two-step fault diagnosis scheme combined with statistical classification and random forests-based classification for rolling element bearings.
Xiaoming Xue, Chaoshun Li, Suqun Cao, Jinchao Sun, Liyan Liu   +4 more
doaj   +1 more source

Rolling bearing fault diagnosis based on generalized multiscale mean permutation entropy and GWO‐LSSVM

IET Science, Measurement & Technology, 2023
Faults in rolling bearings are usually observed through pulses in the vibration signals. However, due to the influence of complex background noise and interference from other machine components present in measurement equipment, vibration signals are ...
Li Liu, Zijin Liu, Xuefei Qian
doaj   +1 more source

Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems

Entropy, 2021
Entropy-based methods have received considerable attention in the quantification of structural complexity of real-world systems. Among numerous empirical entropy algorithms, conditional entropy-based methods such as sample entropy, which are associated ...
Hongjian Xiao, Danilo P. Mandic
doaj   +1 more source

Rolling Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and SOA-SVM

Machines, 2022
The service conditions of underground coal mine equipment are poor, and it is difficult to accurately extract the fault characteristics of rolling bearings. In order to better improve the accuracy of the fault identification of rolling bearings, a fault-detection method based on multiscale permutation entropy and SOA-SVM is proposed.
Xi Zhang, Hongju Wang, Mingming Ren, Mengyun He, Lei Jin   +4 more
openaire   +2 more sources

Fault Diagnosis of Hydroelectric Units Based on a Novel Multiscale Fractional-Order Weighted Permutation Entropy

Fractal and Fractional, 2022
To improve the noise immunity, stability and sensitivity to different signal types in the hydroelectric unit fault diagnosis model, a hydroelectric unit fault diagnosis model based on improved multiscale fractional-order weighted permutation entropy ...
Wenjing Zhang, Yuanchen Gao, Shizhe Peng, Dongdong Zhou, Bin Wang   +4 more
doaj   +1 more source

Composite Multivariate Multi-Scale Permutation Entropy and Laplacian Score Based Fault Diagnosis of Rolling Bearing

Entropy, 2022
As a powerful tool for measuring complexity and randomness, multivariate multi-scale permutation entropy (MMPE) has been widely applied to the feature representation and extraction of multi-channel signals.
Wanming Ying, Jinyu Tong, Zhilin Dong, Haiyang Pan, Qingyun Liu, Jinde Zheng   +5 more
doaj   +1 more source

Graph Multi-Scale Permutation Entropy for Bearing Fault Diagnosis

Sensors, 2023
Bearing faults are one kind of primary failure in rotatory machines. To avoid economic loss and casualties, it is important to diagnose bearing faults accurately. Vibration-based monitoring technology is widely used to detect bearing faults. Graph signal
Qingwen Fan, Yuqi Liu, Jingyuan Yang, Dingcheng Zhang   +3 more
doaj   +1 more source

Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network

Sensors, 2020
As an important research direction of human–computer interaction technology, gesture recognition is the key to realizing sign language translation. To improve the accuracy of gesture recognition, a new gesture recognition method based on four channel ...
Wenguo Li, Zhizeng Luo, Yan Jin, Xugang Xi   +3 more
doaj   +1 more source

Refined Composite Multiscale Fluctuation Dispersion Entropy and Supervised Manifold Mapping for Planetary Gearbox Fault Diagnosis

Machines, 2023
A novel fault diagnosis scheme was developed to address the difficulty of feature extraction for planetary gearboxes using refined composite multiscale fluctuation dispersion entropy (RCMFDE) and supervised manifold mapping. The RCMFDE was first utilized
Haocheng Su, Zhenya Wang, Yuxiang Cai, Jiaxin Ding, Xinglong Wang, Ligang Yao   +5 more
doaj   +1 more source

A New Bearing Fault Diagnosis Method Based on Fine-to-Coarse Multiscale Permutation Entropy, Laplacian Score and SVM

IEEE Access, 2019
Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected downtime in industrial systems. This paper proposes a new rolling bearing fault diagnosis method by integrating the fine-to-coarse multiscale permutation ...
Zhiqiang Huo, Yu Zhang, Lei Shu, Michael Gallimore   +3 more
doaj   +1 more source