☆ 4.7 Article

Multisensor Information Fusion for Fault Diagnosis of Axial Piston Pump Based on Improved WPD and SSA-KSTTM

IEEE SENSORS JOURNAL (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Engineering, Multidisciplinary

A lightweight model for train bearing fault diagnosis based on multiscale attentional feature fusion

Changfu He et al.

Summary: In this paper, a lightweight convolutional neural network based on multiscale attentional feature fusion (MA-LCNN) is proposed for the health condition diagnosis of train running gear bearings. By designing multiscale attention modules and embedding them in different locations, the network's ability to extract fault feature information is greatly improved. Experimental results show that the proposed method outperforms contrast models in fault diagnosis performance under different noise environments and working conditions.

MEASUREMENT SCIENCE AND TECHNOLOGY (2023)

添加到收藏夹

Article Engineering, Electrical & Electronic

Bearing Fault Detection in Three-Phase Induction Motors Using Support Vector Machine and Fiber Bragg Grating

Beatriz Brusamarello et al.

Summary: The three-phase induction motor (TIM) is widely used due to its robustness and cost-effectiveness. However, like any other equipment, it is vulnerable to faults, with about 52% of them related to bearings. This work proposes a method using fiber Bragg grating (FBG) sensors to detect flaws in the outer bearing's raceway by measuring motor dynamic strain signals. A support vector machine (SVM) classifier is used for fault severity identification, with feature extraction performed using peak selection and principal component analysis (PCA). The results show that the PCA-based dataset achieved a higher hit rate than the dataset based on peak selection.

IEEE SENSORS JOURNAL (2023)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Bearing Fault Diagnosis Method Based on Improved Mutual Dimensionless and Deep Learning

Jianbin Xiong et al.

Summary: Under nonlinear and nonstationary dynamic conditions, traditional multidimensional dimensionless indicators (MDIs) fail to effectively diagnose faults in petrochemical units. To address this, this article proposes a new dimensionless indicator named complementary ensemble multidimensionless indicators (CEMDIs), by combining complementary ensemble empirical mode decomposition (CEEMD) and MDI. The CEMDI processed data is then converted into Gramian angular fields (GAFs) using the sequential mapping method, and convolutional neural networks (CNNs) are used to identify different fault types in sparse data. The proposed method is validated using three datasets, showcasing its effectiveness and superiority over traditional methods.

IEEE SENSORS JOURNAL (2023)

添加到收藏夹

Article Environmental Sciences

MCMS-STM: An Extension of Support Tensor Machine for Multiclass Multiscale Object Recognition in Remote Sensing Images

Tong Gao et al.

Summary: MCMS-STM uses multiclass multiscale support tensor machine technology to effectively recognize targets of different sizes in remote sensing images.

REMOTE SENSING (2022)

添加到收藏夹

Article Computer Science, Information Systems

Fault Detection and Isolation of a Pressurized Water Reactor Based on Neural Network and K-Nearest Neighbor

Amine Naimi et al.

Summary: This study explores fault detection and diagnosis in a pressurized water reactor using neural networks and K-nearest neighbour algorithm. The approach is effective in identifying various faults and demonstrating high accuracy in simulation results, with performance compared to other machine learning techniques.

IEEE ACCESS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images

Shengnan Tang et al.

Summary: This paper proposes an improved convolutional neural network (CNN) model for fault feature extraction and classification in a hydraulic piston pump, utilizing Bayesian optimization (BO) for adaptive hyperparameter learning. The results demonstrate that the CNN-BO model achieves higher accuracy and better robustness in fault diagnosis.

ADVANCED ENGINEERING INFORMATICS (2022)

添加到收藏夹

Article Acoustics

Acoustic signal-based fault detection of hydraulic piston pump using a particle swarm optimization enhancement CNN

Yong Zhu et al.

Summary: Hydraulic piston pumps are critical components in fluid power systems and their health status is crucial for the safety and reliability of mechanical equipment. This research introduces the particle swarm optimization algorithm to automatically select the hyperparameters of a diagnosis model and constructs a convolutional neural network model optimized by PSO. The proposed PSO-LeNet model, based on acoustic signals, identifies five common states of a hydraulic piston pump with high accuracy and stability compared to other CNN models.

APPLIED ACOUSTICS (2022)

添加到收藏夹

Article Acoustics

Acoustics interaction in a complex piping network with multiple pulsatile sources

Feroz Ahmed et al.

Summary: The paper analyzes the interactions between multiple pulsatile sources and acoustic eigenmodes, and discusses the influence of source characteristics and phase differences on the acoustic response in a liquid-filled complex piping network. The experimental data confirms the validity of the proposed linear model.

JOURNAL OF SOUND AND VIBRATION (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Kernelized support tensor train machines

Cong Chen et al.

Summary: This paper introduces a tensor train-based kernel technique and applies it to conventional support vector machines for high-dimensional image classification, with three main contributions: proposing a TT-based feature mapping procedure, demonstrating ways to construct TT-based kernel functions, and showing the possibility of applying different kernel functions on different data modes.

PATTERN RECOGNITION (2022)

添加到收藏夹

Article Engineering, Mechanical

Integrated slipper retainer mechanism to eliminate slipper wear in high-speed axial piston pumps

Qun Chao et al.

Summary: This paper presents a new slipper retainer mechanism for high-speed axial piston pumps, which eliminates slipper wear at high rotational speeds. A lubrication model was developed, and experiments confirmed the effectiveness of the new design.

FRONTIERS OF MECHANICAL ENGINEERING (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

Contactless Fault Diagnosis for Railway Point Machines Based on Multi-Scale Fractional Wavelet Packet Energy Entropy and Synchronous Optimization Strategy

Yongkui Sun et al.

Summary: The paper proposes a sound-based fault diagnosis method for railway point machines (RPMs) using fractional calculus and coarse-grain process. A novel feature called multi-scale fractional WPDE (FWPDE) is developed to improve the fault diagnosis accuracy. The paper also presents a synchronous optimization strategy based on binary particle swarm optimization (BPSO) to select optimal feature set and optimize the hyperparameters of support vector machine (SVM), further improving the diagnosis accuracy. The proposed method is verified to be superior and effective compared to existing fault diagnosis methods.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

Multisensor Fusion Time-Frequency Analysis of Thruster Blade Fault Diagnosis Based on Deep Learning

Chia-Ming Tsai et al.

Summary: In this study, different fault conditions of blades in propulsion systems were classified and diagnosed using a convolutional neural network (CNN) based on multiple signals. The results showed that the proposed method achieved the best propeller fault diagnosis results.

IEEE SENSORS JOURNAL (2022)

添加到收藏夹

Article Engineering, Chemical

Study on Health Indicator Construction and Health Status Evaluation of Hydraulic Pumps Based on LSTM-VAE

Zhenbao Li et al.

Summary: This paper addresses the difficulty of evaluating the operating status in widely used gear pumps and proposes a method for constructing hydraulic pump health indicators based on LSTM-VAE. The proposed method is compared with the traditional method and proves to be more effective in terms of tendency, robustness, and monotonicity.

PROCESSES (2022)

添加到收藏夹

Review Engineering, Mechanical

Research Status, Critical Technologies, and Development Trends of Hydraulic Pressure Pulsation Attenuator

Yan Wang et al.

Summary: This paper analyzes the mechanism, harm, and suppression method of pressure pulsation in hydraulic systems. It describes the classification and characteristics of pulsation attenuators and proposes simulation design technologies, matching methods with airborne piston pumps, and preliminary design methods of pulsation attenuators. Finally, it prospects the development trend of pulsation attenuators.

CHINESE JOURNAL OF MECHANICAL ENGINEERING (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Early Fault Detection of Planetary Gearbox Based on Acoustic Emission and Improved Variational Mode Decomposition

Liansheng Liu et al.

Summary: This study proposes an early fault detection method for planetary gearbox based on acoustic emission technique and improved variational mode decomposition, with the use of energy entropy to help distinguish different working conditions. This method provides a novel strategy for detecting early faults in different positions of planetary gearbox by utilizing the advantages of AE technique.

IEEE SENSORS JOURNAL (2021)

添加到收藏夹

Article Engineering, Marine

Research on fluid-structure interaction for piston/cylinder tribopair of seawater hydraulic axial piston pump in deep-sea environment

Songlin Nie et al.

Summary: The study established a parameterized elasto-hydrodynamic lubrication model of the piston/cylinder tribopair in SHAPP, discussing the deformation and energy loss characteristics under different operating conditions. Results showed that in deep-sea environment, the deformation of the piston bush can increase leakage and viscous friction power loss, while an increase in sea surface temperature can decrease the viscous friction power loss.

OCEAN ENGINEERING (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Tensor-Based Learning Framework for Automatic Multichannel Volcano-Seismic Classification

Antonio Augusto Teixeira Peixoto et al.

Summary: This article introduces a supervised tensor-based learning framework for classifying volcano-seismic events at the Ubinas volcano in 2009. The proposed method integrates tensor learning techniques like multilinear principal component analysis and support tensor machine, showing significantly better performance than its vectorial counterparts.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

添加到收藏夹

Article Computer Science, Information Systems

ANN Assisted Multi Sensor Information Fusion for BLDC Motor Fault Diagnosis

Tanvir Alam Shifat et al.

Summary: The study establishes a reliable multi-fault diagnosis framework for a brushless DC (BLDC) motor by investigating sensor acquired vibration and current signals, reducing features using principal component analysis (PCA), utilizing an artificial neural network (ANN) for fault classification, and fusing multiple sensor information to improve diagnostic accuracy. This model shows higher accuracy in detecting and classifying multiple fault features compared to other similar methods, providing a thorough health estimation of the BLDC motor in the presence of both electrical and mechanical faults.

IEEE ACCESS (2021)

添加到收藏夹

Article Engineering, Multidisciplinary

Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis

Jimeng Li et al.

MEASUREMENT (2020)

添加到收藏夹

Article Engineering, Manufacturing

Ranked Feature-Based Laser Material Processing Monitoring and Defect Diagnosis Using k-NN and SVM

Seung Hwan Lee et al.

JOURNAL OF MANUFACTURING PROCESSES (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A neuro-wavelet based approach for diagnosing bearing defects

Niloofar Gharesi et al.

ADVANCED ENGINEERING INFORMATICS (2020)

添加到收藏夹

Article Engineering, Biomedical

Time-Frequency Maximal Information Coefficient Method and its Application to Functional Corticomuscular Coupling

Tie Liang et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)

添加到收藏夹

Article Computer Science, Information Systems

Fault Diagnosis Method for Submersible Reciprocating Pumping Unit Based on Deep Belief Network

Deliang Yu et al.

IEEE ACCESS (2020)

添加到收藏夹

Review Engineering, Mechanical

A Review of High-Speed Electro-Hydrostatic Actuator Pumps in Aerospace Applications: Challenges and Solutions

Qun Chao et al.

JOURNAL OF MECHANICAL DESIGN (2019)

添加到收藏夹

Article Engineering, Chemical

A Fault Feature Extraction Method for the Fluid Pressure Signal of Hydraulic Pumps Based on Autogram

Zhi Zheng et al.

PROCESSES (2019)

添加到收藏夹

Article Computer Science, Information Systems

Research on Pressure Pulsation Characteristics of Gerotor Pump for Active Vibration Damping System

Wenbin Cao et al.

IEEE ACCESS (2019)

添加到收藏夹

Article Engineering, Electrical & Electronic

The Order Statistics Correlation Coefficient and PPMCC Fuse Non-Dimension in Fault Diagnosis of Rotating Petrochemical Unit

Jianbin Xiong et al.

IEEE SENSORS JOURNAL (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

Fault Feature Selection and Diagnosis of Rolling Bearings Based on EEMD and Optimized Elman_AdaBoost Algorithm

Qiang Fu et al.

IEEE SENSORS JOURNAL (2018)

添加到收藏夹

Article Automation & Control Systems

Data Fusion Method Based on Mutual Dimensionless

Jianbin Xiong et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2018)

添加到收藏夹

Article Automation & Control Systems

Enhancement of rolling bearing fault diagnosis based on improvement of empirical mode decomposition denoising method

Rabah Abdelkader et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)

添加到收藏夹

Article Engineering, Mechanical

A data indicator-based deep belief networks to detect multiple faults in axial piston pumps

Shuhui Wang et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Online multilinear principal component analysis

Le Han et al.

NEUROCOMPUTING (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT

Shulong Li et al.

MEDICAL IMAGE ANALYSIS (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests

Ziwei Wang et al.

IEEE SENSORS JOURNAL (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images

Sujoy Kumar Biswas et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

添加到收藏夹

Article Engineering, Electrical & Electronic

Weak Fault Feature Extraction of Rolling Bearings Using Local Mean Decomposition-Based Multilayer Hybrid Denoising

Jianbo Yu et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2017)

添加到收藏夹

Article Acoustics

A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification

Xiaoxi Ding et al.

JOURNAL OF SOUND AND VIBRATION (2015)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Multisensor data fusion: A review of the state-of-the-art

Bahador Khaleghi et al.

INFORMATION FUSION (2013)

添加到收藏夹

Article Engineering, Mechanical

Early fault diagnosis of rotating machinery based on wavelet packets-Empirical mode decomposition feature extraction and neural network

G. F. Bin et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2012)

添加到收藏夹

Article Mathematics, Applied

TENSOR-TRAIN DECOMPOSITION

I. V. Oseledets

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2011)

添加到收藏夹

Article Engineering, Mechanical

Gear fault detection using artificial neural networks and support vector machines with genetic algorithms

B Samanta

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2004)

添加到收藏夹

Article Automation & Control Systems

Robust adaptive control of robot manipulators using generalized fuzzy neural networks

MJ Er et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2003)

添加到收藏夹

Article Computer Science, Theory & Methods

Support vector machines are universally consistent

I Steinwart

JOURNAL OF COMPLEXITY (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.