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Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine

Sensors (Basel, Switzerland), 2022-10, Vol.22 (21), p.8325

2022

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A new fault diagnosis method based on convolutional neural network and compressive sensing

Journal of Mechanical Science and Technology, 2019, 33(11), , pp.5177-5188

2019

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Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning

Sensors (Basel, Switzerland), 2022-05, Vol.22 (10), p.3884

2022

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Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey

Open Physics, 2024-05, Vol.22 (1), p.107815-23

2024

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A two-stage framework for predicting the remaining useful life of bearings

Open Physics, 2024-04, Vol.22 (1), p.20220239-11

2024

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Selective maintenance optimization for random phased-mission systems subject to random common cause failures

Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability, 2019-06, Vol.233 (3), p.379-400

2019

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A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

Micromachines (Basel), 2022-09, Vol.13 (10), p.1644

2022

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Selective maintenance optimisation considering random common cause failures and imperfect maintenance

Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability, 2019-06, Vol.233 (3), p.427-443

2019

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A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model

IEEE access, 2020, Vol.8, p.119405-119420

2020

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A new signal denoising method based on double dictionary learning and moving ruler strategy

Measurement science & technology, 2021-03, Vol.32 (3), p.35111

2021

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A framework for intelligent reliability centered maintenance analysis

Reliability engineering & system safety, 2008-06, Vol.93 (6), p.806-814

2008

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Integrated selective maintenance and task assignment optimization for multi-state systems executing multiple missions

Reliability engineering & system safety, 2023-09, Vol.237, p.109330, Article 109330

2023

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A literature review on selective maintenance for multi‐unit systems

Quality and reliability engineering international, 2018-07, Vol.34 (5), p.824-845

2018

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Gearbox degradation assessment based on a sparse representation feature and Euclidean distance technique

Australian journal of mechanical engineering, 2022-03, Vol.20 (2), p.500-515

2022

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Frequency source design of solid-state microwave source based on phase-locked loop technology

Journal of physics. Conference series, 2024-07, Vol.2807 (1), p.12010

2024

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Research on Fault Feature Extraction Method of Rolling Bearing Based on SSA–VMD–MCKD

Electronics (Basel), 2022-10, Vol.11 (20), p.3404

2022

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Selective maintenance optimization for fuzzy multi-state systems

Journal of intelligent & fuzzy systems, 2018-01, Vol.34 (1), p.105-121

2018

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Research on Diesel Engine Fault Diagnosis Method Based on Stacked Sparse Autoencoder and Support Vector Machine

Electronics (Basel), 2022-07, Vol.11 (14), p.2249

2022

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Combination of Optimized Variational Mode Decomposition and Deep Transfer Learning: A Better Fault Diagnosis Approach for Diesel Engines

Electronics (Basel), 2022-07, Vol.11 (13), p.1969

2022

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Conditional generative adversarial network based data augmentation for fault diagnosis of diesel engines applied with infrared thermography and deep convolutional neural network

Eksploatacja i niezawodność, 2024-01, Vol.26 (1)

2024

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Diesel Engine Fault Diagnosis Method Based on Optimized VMD and Improved CNN

Processes, 2022-11, Vol.10 (11), p.2162

2022

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A novel method of health indicator construction and remaining useful life prediction based on deep learning

Eksploatacja i niezawodność, 2023-01, Vol.25 (4)

2023

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Gearbox Fault Diagnosis Based on Optimized Stacked Denoising Auto Encoder and Kernel Extreme Learning Machine

Processes, 2023-07, Vol.11 (7), p.1936

2023

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Fault Diagnosis Method of Planetary Gearbox Based on Compressed Sensing and Transfer Learning

Electronics (Basel), 2022-06, Vol.11 (11), p.1708

2022

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Intelligent Fault Diagnosis Method for Gearboxes Based on Deep Transfer Learning

Processes, 2023-01, Vol.11 (1), p.68

2023

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Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine

A new fault diagnosis method based on convolutional neural network and compressive sensing

Compression Reconstruction and Fault Diagnosis of Diesel Engine Vibration Signal Based on Optimizing Block Sparse Bayesian Learning

Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey

A two-stage framework for predicting the remaining useful life of bearings

Selective maintenance optimization for random phased-mission systems subject to random common cause failures

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography

Selective maintenance optimisation considering random common cause failures and imperfect maintenance

A New State Recognition and Prognosis Method Based on a Sparse Representation Feature and the Hidden Semi-Markov Model

A new signal denoising method based on double dictionary learning and moving ruler strategy

A framework for intelligent reliability centered maintenance analysis

Integrated selective maintenance and task assignment optimization for multi-state systems executing multiple missions

A literature review on selective maintenance for multi‐unit systems

Gearbox degradation assessment based on a sparse representation feature and Euclidean distance technique

Frequency source design of solid-state microwave source based on phase-locked loop technology

Research on Fault Feature Extraction Method of Rolling Bearing Based on SSA–VMD–MCKD

Selective maintenance optimization for fuzzy multi-state systems

Research on Diesel Engine Fault Diagnosis Method Based on Stacked Sparse Autoencoder and Support Vector Machine

Combination of Optimized Variational Mode Decomposition and Deep Transfer Learning: A Better Fault Diagnosis Approach for Diesel Engines

Conditional generative adversarial network based data augmentation for fault diagnosis of diesel engines applied with infrared thermography and deep convolutional neural network

Diesel Engine Fault Diagnosis Method Based on Optimized VMD and Improved CNN

A novel method of health indicator construction and remaining useful life prediction based on deep learning

Gearbox Fault Diagnosis Based on Optimized Stacked Denoising Auto Encoder and Kernel Extreme Learning Machine

Fault Diagnosis Method of Planetary Gearbox Based on Compressed Sensing and Transfer Learning

Intelligent Fault Diagnosis Method for Gearboxes Based on Deep Transfer Learning

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