Results 21 to 30 of about 4,233 (262)

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

open access: yesApplied 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   +3 more
doaj   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

Application of Deep Neural Network in Gearbox Compound Fault Diagnosis

open access: yesEnergies, 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   +3 more
doaj   +1 more source

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

Fault Separation and Detection for Compound Bearing-Gear fault Condition Based on Decomposition of Marginal Hilbert Spectrum [PDF]

open access: yesIEEE Access, 2019
For the rotating machinery system, it is a challenge to explore fault detection and diagnosis for multiple-faults condition, which simultaneously contains faulty bearing components and faulty gear components. In the study, a fault feature separation and extraction approach is proposed for the bearing-gear fault condition through combining empirical ...
Changning Li   +5 more
openaire   +2 more sources

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

open access: yesShock 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   +2 more
doaj   +1 more source

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

open access: yesIEEE 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

The Content of Phenolic Compounds in Lichens in the Tectonic Fault Zones

open access: yesLesnoy Zhurnal (Forestry Journal), 2022
The paper studies the influence of geoecological factors on the content of phenolic compounds (PCs) in lichens of the genus Cladonia in the Velsko-Ustyansky and Kholmogorsky tectonic knots (TKs). Lichens were sampled from the test plots (TPs) laid out in the center of the knots and outside the knots (control).
Irina A. Palamarchuk   +5 more
openaire   +1 more source

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

Compound Fault Diagnosis of Rolling Bearing Based on Singular Negentropy Difference Spectrum and Integrated Fast Spectral Correlation

open access: yesEntropy, 2020
Compound fault diagnosis is challenging due to the complexity, diversity and non-stationary characteristics of mechanical complex faults. In this paper, a novel compound fault separation method based on singular negentropy difference spectrum (SNDS) and ...
Guiji Tang, Tian Tian
doaj   +1 more source

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