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
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Compound Fault Characteristic Analysis for Fault Diagnosis of a Planetary Gear Train
SensorsThe 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 +5 more
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An Improved Convolutional Capsule Network for Compound Fault Diagnosis of RV Reducers
Sensors, 2022 In fault diagnosis research, compound faults are often regarded as an isolated fault mode, while the association between compound faults and single faults is ignored, resulting in the inability to make accurate and effective diagnoses of compound faults ...
Qitong Xu +3 more
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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 +3 more
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Harmonic adaptive fault-tolerant control for incipient and multiple faults of high mobility fighter [PDF]
Scientific ReportsThis paper proposes a harmonic adaptive fault-tolerant control (FTC) designed to handle multiple disturbances and faults, including incipient faults, in high-mobility fighter aircraft.
Kaiyu Hu, Zhaoyang Wang, Jia Wang
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ResGRU: A Novel Hybrid Deep Learning Model for Compound Fault Diagnosis in Photovoltaic Arrays Considering Dust Impact [PDF]
SensorsWith the widespread deployment of photovoltaic (PV) power stations, timely identification and rectification of module defects are crucial for extending service life and preserving efficiency.
Xi Liu +7 more
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An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution [PDF]
Metrology and Measurement Systems, 2023 The most crucial transmission components utilized in rotating machinery are gears and bearings. In a gearbox, the bearings support the force acting on the gears.
Athisayam Andrews, Kondal Maniseka
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Compound mechanical fault diagnosis based on CMDE [PDF]
Advances in Mechanical Engineering, 2022 The fault diagnosis technique is of important for the safety operation of the rotating machinery. In the fault diagnosis framework, the entropy-based method is a promising tool for the feature extraction and signal processing. Among the entropy-based methods, the diversity entropy has arisen increasing attention due to its merits of high consistency ...
Guangwei Yu, Xianzhi Wang, Chunlin Da
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Sensors, 2023 Fault diagnosis is important in rotor systems because severe damage can occur during the operation of systems under harsh conditions. The advancements in machine learning and deep learning have led to enhanced performance of classification. Two important
Taehwan Son, Dongwoo Hong, Byeongil Kim
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Improved DCNN Based on Multi-Source Signals for Motor Compound Fault Diagnosis
Machines, 2022 Induction motors, the key equipment for rotating machinery, are prone to compound faults, such as a broken rotor bars and bearing defects. It is difficult to extract fault features and identify faults from a single signal because multiple fault features ...
Xiaoyun Gong +4 more
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