Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis [PDF]
Entropy, 2017 Based on the combination of improved Local Mean Decomposition (LMD), Multi-scale Permutation Entropy (MPE) and Hidden Markov Model (HMM), the fault types of bearings are diagnosed.
Yangde Gao +3 more
doaj +6 more sources
Analysis of Weak Fault in Hydraulic System Based on Multi-scale Permutation Entropy of Fault-Sensitive Intrinsic Mode Function and Deep Belief Network [PDF]
Entropy, 2019 With the aim of automatic recognition of weak faults in hydraulic systems, this paper proposes an identification method based on multi-scale permutation entropy feature extraction of fault-sensitive intrinsic mode function (IMF) and deep belief network ...
Jie Huang +4 more
doaj +5 more sources
Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy [PDF]
Entropy, 2015 This paper presents a rolling bearing fault diagnosis approach by integrating wavelet packet decomposition (WPD) with multi-scale permutation entropy (MPE).
Li-Ye Zhao, Lei Wang, Ru-Qiang Yan
doaj +5 more sources
Triple feature extraction method based on multi-scale dispersion entropy and multi-scale permutation entropy in sound-based fault diagnosis [PDF]
Frontiers in Physics, 2023 Fault of rolling bearing signal is a common problem encountered in the production of life. Identifying the fault signal helps to locate the fault location and type quickly, react to the fault in time, and reduce the losses caused by the failure in ...
Nina Zhou, Li Wang
doaj +3 more sources
Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia. [PDF]
Entropy (Basel), 2021 Insomnia is a common sleep disorder that is closely associated with the occurrence and deterioration of cardiovascular disease, depression and other diseases. The evaluation of pharmacological treatments for insomnia brings significant clinical implications.
Guo Y +5 more
europepmc +6 more sources
Remaining Useful Life Prediction of Rolling Bearings Based on Multi-scale Permutation Entropy and ISSA-LSTM. [PDF]
Entropy (Basel), 2023 The performance of bearings plays a pivotal role in determining the dependability and security of rotating machinery. In intricate systems demanding exceptional reliability and safety, the ability to accurately forecast fault occurrences during operation holds profound significance.
Wang H +5 more
europepmc +5 more sources
Identification of Denatured Biological Tissues Based on Time-Frequency Entropy and Refined Composite Multi-Scale Weighted Permutation Entropy during HIFU Treatment [PDF]
Entropy, 2019 Identification of denatured biological tissue is crucial to high intensity focused ultrasound (HIFU) treatment. It is not easy for intercepting ultrasonic scattered echo signals from HIFU treatment region.
Bei Liu, Shengyou Qian, Weipeng Hu
doaj +4 more sources
Entropy, 2022 Due to the complicated engineering operation of the check valve in a high−pressure diaphragm pump, its vibration signal tends to show non−stationary and non−linear characteristics.
Xuyi Yuan +4 more
doaj +4 more sources
Identification of gear fault by weighted Mahalanobis distance method based on multi-scale permutation entropy [PDF]
Scientific ReportsAccurate identification of weak fault signals is critical for gear fault detection, yet particularly challenging. This study proposes a gear fault diagnosis method that utilizes Mutual Information (MI) and an Improved False Nearest Neighbor (IFNN ...
Xintao Zhou +3 more
doaj +5 more sources
A Novel Feature Extraction Method for Ship-Radiated Noise Based on Variational Mode Decomposition and Multi-Scale Permutation Entropy [PDF]
Entropy, 2017 In view of the problem that the features of ship-radiated noise are difficult to extract and inaccurate, a novel method based on variational mode decomposition (VMD), multi-scale permutation entropy (MPE) and a support vector machine (SVM) is proposed to extract the features of ship-radiated noise.
Yuxing Li, Yaan Li, Jing Yu
exaly +4 more sources