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
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
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Adaptive Minimum-Entropy Hybrid Compensation for Compound Faults of Non-Gaussian Stochastic Systems
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
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Application of Deep Neural Network in Gearbox Compound Fault Diagnosis
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
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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
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Fault Separation and Detection for Compound Bearing-Gear fault Condition Based on Decomposition of Marginal Hilbert Spectrum [PDF]
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
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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
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
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The Content of Phenolic Compounds in Lichens in the Tectonic Fault Zones
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
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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
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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
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