Articles with "compound fault" as a keyword



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

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

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

Compound fault diagnosis of rolling bearings with few-shot based on DCGAN-RepLKNet

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Published in 2024 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ad24b5

Abstract: To guarantee the security of personnel on-site, diagnosing the malfunction of mechanical apparatus is imperative. The accomplishments within the domain of fault diagnosis have been partly attributed to the advancements in deep learning technology, which… read more here.

Keywords: dcgan replknet; compound fault; fault diagnosis; fault ... See more keywords

A generative zero-shot learning method for compound fault intelligent diagnosis of rolling bearings

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Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/adce1f

Abstract: In practical industrial applications, the scarcity of compound fault samples poses significant challenges in obtaining sufficient training data, leading to class imbalance and negatively impacting the diagnostic performance of models. To tackle this issue, we… read more here.

Keywords: information; generative zero; compound fault; zero shot ... 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

A Novel Compound Fault Diagnosis Method for Rotating Machinery Based on Dynamic Adaptive MWPE and Dual-Graph Regularization Strategy

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Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3523323

Abstract: Detection of compound fault in rotating machinery under complex operation environment is a challenge in fault diagnosis. Machine learning occupies an important position in the field of fault diagnosis due to its broad applicability and… read more here.

Keywords: diagnosis; method; compound fault; fault diagnosis ... See more keywords

A Discrimination-Guided Active Learning Method Based on Marginal Representations for Industrial Compound Fault Diagnosis

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Published in 2024 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2023.3325271

Abstract: Diagnosis of compound faults is meaningful and challenging in actual industrial applications. Generally, it is impractical to obtain a sufficient amount of labeled data for the compound faults, which limits the performance of existing methods.… read more here.

Keywords: method; compound fault; fault diagnosis; compound ... See more keywords

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