Lingli Jiang

Fault Diagnosis of Rotating Machinery Based on Multisensor Information Fusion Using SVM and Time-Domain Features

Lingli Jiang, Huakui Yin -, Xuejun Li et al. · Shock and Vibration · 2014 · 89 citations · Full text

Fault Diagnosis, Engineering, Machine Learning +18

Lightweight CNN architecture design for rolling bearing fault diagnosis

Lingli Jiang, Changzhi Shi, Heshan Sheng et al. · Measurement Science and Technology · 2024 · 58 citations

Using bispectral distribution as a feature for rotating machinery fault diagnosis

Lingli Jiang, Yilun Liu, Xuejun Li et al. · Measurement · 2011 · 46 citations

Fault Diagnosis, Condition Monitoring, Reliability Engineering +8

Modulation sidebands analysis of coupled bevel gear pair and planetary gear train system

Hongzheng Han, Shunhao Zhang, Yang Yang et al. · Mechanism and Machine Theory · 2022 · 28 citations

Bevel Gear Pair, Engineering, Aerospace Engineering

CEEMDAN‐Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral‐Bevel Gears

Lingli Jiang, Tan Hongchuang, Xuejun Li et al. · Shock and Vibration · 2019 · 24 citations · Full text