Results 11 to 20 of about 4,524,731 (322)

Hybrid Adaptive Fault-Tolerant Control for Compound Faults of Hypersonic Vehicle

IEEE Access, 2021
This study investigates the hybrid fault-tolerant control (FTC) for hypersonic flight vehicles (HFVs) under the rudder structure fault (RSF) and rudder angle deviation fault (RADF).
Kai-Yu Hu, Wenhao Li, Zian Cheng
doaj   +3 more sources

Detection of Compound Faults in Ball Bearings Using Multiscale-SinGAN, Heat Transfer Search Optimization, and Extreme Learning Machine

Machines, 2022
Intelligent fault diagnosis gives timely information about the condition of mechanical components. Since rolling element bearings are often used as rotating equipment parts, it is crucial to identify and detect bearing faults.
Venish Suthar, Vinay Vakharia, Vivek K. Patel, Milind Shah   +3 more
doaj   +2 more sources

Analyzing Vibration Mechanism of Angular Contact Ball Bearing with Compound Faults on Inner and Outer Rings

Shock and Vibration, 2021
This paper investigates a method to dynamically model compound faults on the inner and outer rings of an angular contact ball bearing as well as their effects on its dynamic behavior.
Lihai Chen, Ma Fang, Ming Qiu, Yanfang Dong, Xiaoxu Pang, Junxing Li, Chuanmeng Yang   +6 more
doaj   +2 more sources

Nonlinear Extended State Observer and Prescribed Performance Fault-Tolerant Control of Quadrotor Unmanned Aerial Vehicles Against Compound Faults

Aerospace
Addressing trajectory and attitude control challenges in quadrotor UAVs amid compound faults and unknown external disturbances, this paper introduces a fault-tolerant control method predicated on nonlinear extended state observers.
Ge Mai, Hongliang Wang, Yilin Wang, Xinghua Wu, Peiyao Jiang, Genyuan Feng   +5 more
doaj   +2 more sources

Compound Fault Characteristic Analysis for Fault Diagnosis of a Planetary Gear Train

Sensors
The carrier eccentricity error and gear compound faults are most likely to occur simultaneously in an actual planetary gear train (PGT). Various faults and errors are coupled with each other to generate a complex dynamic response, which makes the ...
Yulin Ren, Guoyan Li, Xiong Li, Jingbin Zhang, Runjun Liu, Sifan Shi   +5 more
doaj   +3 more sources

Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model

Advances in Mechanical Engineering, 2020
Identification of rolling bearing fault patterns, especially for the compound faults, has attracted notable attention and is still a challenge in fault diagnosis.
HongChao Wang, WenLiao Du
doaj   +2 more sources

Compound Faults Feature Extraction for Rolling Bearings Based on Parallel Dual-Q-Factors and the Improved Maximum Correlated Kurtosis Deconvolution

Applied Sciences, 2019
Vibration analysis is one of the main effective ways for rolling bearing fault diagnosis, and a challenge is how to accurately separate the inner and outer race fault features from noisy compound faults signals.
Lingli Cui, Jianxi Du, Na Yang, Yonggang Xu, Liuyang Song   +4 more
doaj   +2 more sources

Improved Adaptive Hybrid Compensation for Compound Faults of Non-Gaussian Stochastic Systems

IEEE Access, 2019
This study investigates an adaptive estimation and hybrid parallel distribution compensation for non-Gaussian stochastic systems with actuator-sensor compound faults.
Kaiyu Hu, Changyun Wen, Aili Yusup
doaj   +2 more sources

Coordination Control Strategy for Compound Fault of MMC-HVDC [PDF]

MATEC Web of Conferences, 2016
Single-line to ground fault of DC side and sub-module fault are typical faults of MMC-HVDC. When each of the above faults occurs, the system will give a signal for circuit-breaker releasing, this will result in interruption of power delivery, the ...
Zhang Ming Guang, Zhang Zhao Yu, Qiu Li Jie, Chen Xi   +3 more
doaj   +2 more sources

Isolation and Identification of Compound Faults in Rotating Machinery via Adaptive Deep Filtering Technique

IEEE Access, 2019
Compound defects commonly occur on rotating machinery under fatigue and heavy loads, and their fault signatures are coupled and easily buried in strong unwanted vibrations and background noise.
Chunlin Zhang, Yuling Liu, Fangyi Wan, Binqiang Chen, Jie Liu   +4 more
doaj   +2 more sources