Results 21 to 30 of about 939,391 (232)

A Compound Fault Labeling and Diagnosis Method Based on Flight Data and BIT Record of UAV

Applied Sciences, 2021
In the process of Unmanned Aerial Vehicle (UAV) flight testing, plenty of compound faults exist, which could be composed of concurrent single faults or over-limit states alarmed by Built-In-Test (BIT) equipment.
Ke Zheng, Guozhu Jia, Linchao Yang, Jiaqing Wang   +3 more
doaj   +1 more source

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

IEEE Access, 2019
This study investigated minimum-entropy hybrid fault-tolerant control (FTC) theory for non-Gaussian stochastic systems with compound faults. After fuzzy linearization for the singular systems, the output probability density function (PDF) is generated by
Kaiyu Hu, Fuyang Chen, Zian Cheng, Changyun Wen   +3 more
doaj   +1 more source

March AB, March AB1: new March tests for unlinked dynamic memory faults [PDF]

, 2005
Among the different types of algorithms proposed to test static random access memories (SRAMs), March tests have proven to be faster, simpler and regularly structured. New memory production technologies introduce new classes of faults usually referred to
Di Natale, Giorgio, Bosio, Alberto, A. Benso, P. Prinetto, A. Bosio, G. Di Natale, Benso, Alfredo, Prinetto, Paolo Ernesto, S. Di Carlo, Di Carlo, Stefano   +9 more
core   +1 more source

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   +1 more source

Detection of Diesel Engine Injector Faults Using Acoustic Emissions [PDF]

This study investigated the method of identifying injector faults in a JCB 444T2 diesel engine using acoustic emission (AE) technique. Different kinds of injector faults were seeded in the four-cylinder, four-stroke, and turbo-engine.
Gu, Fengshou, Ball, Andrew, Elamin, Fathi, Fan, Yibo   +3 more
core   +5 more sources

Application of Deep Neural Network in Gearbox Compound Fault Diagnosis

Energies, 2023
Gearbox fault diagnosis is vital to ensure the efficient operation of rotating machinery, and most gearbox faults in industrial production occur in the form of compound faults. To realize the diagnosis of compound faults in gearboxes at different speeds,
Xiangfeng Zhang, Qinghong Xu, Hong Jiang, Jun Li   +3 more
doaj   +1 more source

Compound Fault Diagnosis of a Wind Turbine Gearbox Based on MOMEDA and Parallel Parameter Optimized Resonant Sparse Decomposition

Sensors, 2022
Wind turbines usually operate in harsh environments. The gearbox, the key component of the transmission chain in wind turbines, can easily be affected by multiple factors during the operation process and develop compound faults. Different types of faults
Yang Feng, Xiangfeng Zhang, Hong Jiang, Jun Li   +3 more
doaj   +1 more source

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   +1 more source

Sparsity-Oriented Nonconvex Nonseparable Regularization for Rolling Bearing Compound Fault under Noisy Environment

Shock and Vibration, 2020
Rolling bearing is widely used in rotating machinery and, at the same time, it is easy to be damaged due to harsh operating environments and conditions. As a result, rolling bearing is critical to the safe operation of the machinery devices.
Xiaocheng Li, Jingcheng Wang, Hongyuan Wang   +2 more
doaj   +1 more source

Fault Diagnosis of Rotating Machinery Using Denoising-Integrated Sparse Autoencoder Based Health State Classification

IEEE Access, 2023
The diagnostic study on single-fault with distinguishing features based on monitoring data analysis is mature and fruitful in recent years. However, the early fault signals collected by practical monitoring systems often possess the following ...
Jing Yang, Guo Xie, Yanxi Yang
doaj   +1 more source