Articles with "compound fault" as a keyword



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Compound fault prediction of rolling bearing using multimedia data

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Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-4419-1

Abstract: Catastrophic failure of mechanical systems due to faults occurring on rolling bearing is still a great challenge. These faults, which are of multiple type, are compounded in nature. Vibration analysis of multimedia signals is one… read more here.

Keywords: fault; cmf eemd; compound fault; rolling bearing ... See more keywords
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A novel hybrid compound fault pattern identification method for gearbox based on NIC, MFDFA and WOASVM

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Published in 2019 at "Journal of Mechanical Science and Technology"

DOI: 10.1007/s12206-019-0209-1

Abstract: Gearbox compound fault pattern recognition is challenging because of its complexity and non-stationarity of the vibration signal. In this study is proposed a novel hybrid method based on narrow band interference canceller (NIC), multifractal detrended… read more here.

Keywords: method; fault pattern; gearbox; compound ... See more keywords
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Compound fault-tolerant attitude control for hypersonic vehicle with reaction control systems in reentry phase.

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Published in 2019 at "ISA transactions"

DOI: 10.1016/j.isatra.2019.01.005

Abstract: In this paper, a novel compound fault-tolerant attitude control (FTC) scheme is proposed for reentry hypersonic vehicles with aerodynamic surfaces and reaction control systems (RCS) in the presence of parameter uncertainties, external disturbances and aerodynamic… read more here.

Keywords: aerodynamic surfaces; fault tolerant; control; compound fault ... See more keywords
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Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network

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Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2020.108500

Abstract: Abstract Existing deep learning methods commonly requires massive labeled data for compound fault diagnosis, which is difficult and time-consuming to collect in the real application. This paper presents a novel decoupling attentional residual network for… read more here.

Keywords: compound fault; network; compound; fault diagnosis ... See more keywords
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Compound Fault Diagnosis Method of Rolling Bearing Based on Multipoint Kurtosis Spectrum and AO-MOMDEA

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Published in 2023 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/acd710

Abstract: In the compound fault of rolling bearing, different types of fault signals are coupled and cross affected, which makes it is difficult to separate and extract weak fault features, and it is easy to miss… read more here.

Keywords: compound; compound fault; spectrum; rolling bearing ... See more keywords
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Compound Fault Diagnosis Method of Modular Multilevel Converter Based on Improved Capsule Network

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3166948

Abstract: When submodule (SM) compound fault occurs in the Modular multilevel converter (MMC), the time-domain waveform characteristics of output current and internal circuiting current of MMC are not obvious, especially on the condition of high-level MMC.… read more here.

Keywords: method; capsule; fault diagnosis; network ... See more keywords
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Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task

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Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2020.3042300

Abstract: With advanced measurement technologies and signal analytics algorithms developed rapidly, the past decades have witnessed large amount of successful breakthroughs and applications in the field of intelligent fault diagnosis (IFD). However, the historical IFD methods… read more here.

Keywords: multidomain; fault diagnosis; compound fault; fault ... See more keywords
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Degradation State Partition and Compound Fault Diagnosis of Rolling Bearing Based on Personalized Multilabel Learning

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Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2021.3091504

Abstract: The prognostic and health management (PHM) of rolling bearings has been a popular research area. Since bearing fault is inevitable during degradation, how to improve the PHM performance based on both degradation states and fault… read more here.

Keywords: multilabel; multilabel learning; degradation; phm ... See more keywords
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Compound Fault Diagnosis Using Optimized MCKD and Sparse Representation for Rolling Bearings

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3159005

Abstract: The effective separation of fault characteristic components is the core of compound fault diagnosis of rolling bearings. The intelligent optimization algorithm has better global optimization performance and fast convergence speed. Aiming at the problem of… read more here.

Keywords: fault diagnosis; compound fault; diagnosis; fault ... See more keywords
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The Extraction Method of Gearbox Compound Fault Features Based on EEMD and Cloud Model

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Published in 2020 at "Mathematical Problems in Engineering"

DOI: 10.1155/2020/6661975

Abstract: When a compound fault occurs, the randomness and ambiguity of the gearbox will cause uncertainty in the collected signal and reduce the accuracy of signal feature extraction. To improve accuracy, this research proposes a gearbox… read more here.

Keywords: fault; feature; method; compound fault ... See more keywords
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A novel strategy using optimized MOMED and B-spline based envelope-derivative operator for compound fault detection of the rolling bearing

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Published in 2022 at "Structural Health Monitoring"

DOI: 10.1177/14759217211062826

Abstract: The bearing regularly suffers from compound faults in real-world working conditions. In comparison to the single-fault feature extraction, the compound fault diagnosis is more difficult to achieve. This paper suggests an alternative signal processing strategy… read more here.

Keywords: compound fault; operator; spline; fault detection ... See more keywords