Hong-ru Li

发表

Fault Feature Extraction and Degradation State Identification for Piezoelectric Ceramics Cracking in Ultrasonic Motor Based on Multi-Scale Morphological Gradient

Guoqing An, Hong-ru Li, Baiyan Chen, 2019 .

Randomness complexity as a family feature of rolling bearings’ degradation

Hong-ru Li, Yaolong Li, Bing Wang, 2019 .

Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

Guoqing An, Hong-ru Li, 2019, Shock and Vibration.

Degradation feature extraction method for piezoelectric ceramic of ultrasonic motor based on DCT-SV cross entropy

Guoqing An, Hong-ru Li, Kaiyao Song, 2019, Journal of Vibroengineering.

Spatial Information Entropy and Its Application in the Degradation State Identification of Hydraulic Pump

Bing Wang, Hong-ru Li, Yu-kui Wang, 2015 .

Rolling Bearing Degradation State Identification Based on LCD Relative Spectral Entropy

Hong-ru Li, He Yu, Baohua Xu, 2016, Journal of Failure Analysis and Prevention.

Degradation feature extraction of the hydraulic pump based on high-frequency harmonic local characteristic-scale decomposition sub-signal separation and discrete cosine transform high-order singular entropy

Hong-ru Li, Baohua Xu, Jian Sun, 2016 .

The application of a general mathematical morphological particle as a novel indicator for the performance degradation assessment of a bearing

Bing Wang, Hongru Li, Yaolong Li, 2017 .

Rolling Element Bearing Performance Degradation Assessment Using Variational Mode Decomposition and Gath-Geva Clustering Time Series Segmentation

Bing Wang, Hong-ru Li, Yaolong Li, 2017 .

Fault Feature Extraction of Hydraulic Pump Based on CNC De-noising and HHT

Hong-ru Li, Yukui Wang, P. Ye, 2015, Journal of Failure Analysis and Prevention.

A Hybrid Domain Degradation Feature Extraction Method for Motor Bearing Based on Distance Evaluation Technique

Hong-ru Li, Baiyan Chen, He Yu, 2017 .

The fault mode identification of hydraulic pump based on MLSE and support vector machine optimized by ABC

Peng Ye, Hongru Li, Jiqiao Ma, 2015 .

Research on the Feature Selection of Rolling Bearings’ Degradation Features

Bing Wang, Hongru Li, He Yu, 2019 .

A Novel Health Indicator Based on Cointegration for Rolling Bearings’ Run-To-Failure Process

He Yu, Hongru Li, Yaolong Li, 2019, Sensors.

Rolling bearing performance degradation condition recognition based on mathematical morphological fractal dimension and fuzzy C-means

Bing Wang, Hongru Li, Xiong Hu, 2017 .

Prognostic for hydraulic pump based upon DCT-composite spectrum and the modified echo state network

Hongru Li, Jian Sun, Hong-ru Li, 2016, SpringerPlus.

Fault Prognosis of Hydraulic Pump Based on Bispectrum Entropy and Deep Belief Network

Hongru Li, He Yu, Zaike Tian, 2019, Measurement Science Review.

Vibration signal fusion using improved empirical wavelet transform and variance contribution rate for weak fault detection of hydraulic pumps.

He Yu, Hongru Li, Yaolong Li, 2020, ISA transactions.

Pump remaining useful life prediction based on multi-source fusion and monotonicity-constrained particle filtering

Hong-ru Li, He Yu, 2022, Mechanical Systems and Signal Processing.

A Novel Three-stage Feature Fusion Methodology and its Application in Degradation State Identification for Hydraulic Pumps

Hong-ru Li, He Yu, Mochao Pei, 2021, Measurement Science Review.

A Novel Deep Belief Network Model Constructed by Improved Conditional RBMs and its Application in RUL Prediction for Hydraulic Pumps

He Yu, Hong-ru Li, An Guoqing, 2020 .

Degradation State Identification for Hydraulic Pumps Based on Multi-scale Ternary Dynamic Analysis, NSGA-II and SVM

Hong-ru Li, He Yu, Mochao Pei, 2021 .

A conditional factor VAE model for pump degradation assessment under varying conditions

Hongru Li, He Yu, Hong-ru Li, 2021, Appl. Soft Comput..

Degradation state identification for hydraulic pumps using modified hierarchical decomposition and image processing

Hong-ru Li, He Yu, Mochao Pei, 2021, Measurement and Control.