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Fault Diagnosis Method of Plunger Pump Based on Meta-Learning and Improved Multi-Channel Convolutional Neural Network Under Small Sample Condition [PDF]
SensorsA fault diagnosis method based on meta-learning and an improved multi-channel convolutional neural network (MAML-MCCNN-ISENet) was proposed to solve the problems of insufficient feature extraction and low fault type identification accuracy of vibration ...
Xiwang Yang +4 more
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IEEE Access, 2021 In this study, we aim to provide a deep convolutional network based femoral neck fracture detection system on radiographs for emergency patients. We retrospectively collected 1,491 frontal pelvic radiographs from three institutions and assigned them to ...
Lin Mu +9 more
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Auto‐calibration Kalman filters for non‐linear systems with direct feedthrough
IET Control Theory & Applications, 2021 The problem of state estimation for non‐linear systems with unknown inputs is discussed. The objective is to construct a non‐linear filter where the unknown input affects both the state equation and measurement equation. An auto‐calibration Kalman filter
Yi Cui, Zhihua Wang
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A fault diagnosis method for roller based on small sample sound signals
Gong-kuang zidonghua, 2023 Fault diagnosis methods based on deep learning have high requirements for the quality of the dataset, requiring a large amount of data for good model training to achieve accurate fault diagnosis.
HAO Hongtao, QIU Yuanyuan, DING Wenjie
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Reliability Assessment for a Spacecraft Landing Buffer Mechanism Based on Small Sample Data
Machines, 2023 The landing buffer mechanism (LBM) is a crucial component of aerospace landing explorations, determining the success of the entire mission. Reliability demonstration tests (RDTs) are required to ensure the LBM’s performance meets the design index ...
Ziang Li, Huimin Fu, Qiong Wu
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Wind Turbine Blade Defect Detection Based on Acoustic Features and Small Sample Size
Machines, 2022 Wind power has become an important source of electricity for both production and domestic use. However, because wind turbines often operate in harsh environments, they are prone to cracks, blisters, and corrosion of the blade surface.
Yuefan Zhu +4 more
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The International Journal of Biostatistics, 2017 AbstractMultiple comparisons and small sample size, common characteristics of many types of “Big Data” including those that are produced by genomic studies, present specific challenges that affect reliability of inference. Use of multiple testing procedures necessitates calculation of very small tail probabilities of a test statistic distribution ...
Inna, Gerlovina +2 more
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Economies, 2023 A crucial role belongs to export firms in the export-led growth model of Vietnam. The COVID-19 disease has posed a serious challenge to the Vietnamese economy, having negatively impacted its influential export sector.
Thanh Dan Bui, Nguyen Ngoc Thach
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Applied Sciences, 2023 Tomatoes are a crop of significant economic importance, and disease during growth poses a substantial threat to yield and quality. In this paper, we propose IBSA_Net, a tomato leaf disease recognition network that employs transfer learning and small ...
Ruofan Zhang +4 more
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Sensors, 2022 Aiming at the problems of low fault diagnosis accuracy caused by insufficient samples and unbalanced data sample distribution in bearing fault diagnosis, this paper proposes a fault diagnosis method for rolling bearings referencing conditional deep ...
Cheng Peng, Shuting Zhang, Changyun Li
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