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LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

IEEE transactions on industrial electronics (1982), 2018-06, Vol.65 (6), p.4973-4982

2018

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A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-10

2021

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Health Indicator Construction Method of Bearings Based on Wasserstein Dual-Domain Adversarial Networks Under Normal Data Only

IEEE transactions on industrial electronics (1982), 2022-10, Vol.69 (10), p.10615-10624

2022

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Volltext

Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life

IEEE transactions on industrial informatics, 2019-02, Vol.15 (2), p.822-832

2019

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Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification

IEEE transactions on industrial electronics (1982), 2022-07, Vol.69 (7), p.7394-7404

2022

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A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-15

2022

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A Local Weighted Multi-Instance Multilabel Network for Fault Diagnosis of Rolling Bearings Using Encoder Signal

IEEE transactions on instrumentation and measurement, 2020-10, Vol.69 (10), p.8580-8589

2020

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Volltext

Application of the EEMD method to rotor fault diagnosis of rotating machinery

Mechanical systems and signal processing, 2009-05, Vol.23 (4), p.1327-1338

2009

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Application of an improved kurtogram method for fault diagnosis of rolling element bearings

Mechanical systems and signal processing, 2011-07, Vol.25 (5), p.1738-1749

2011

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A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

IEEE transactions on industrial informatics, 2016-06, Vol.12 (3), p.924-932

2016

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Discriminative Sparse Autoencoder for Gearbox Fault Diagnosis Toward Complex Vibration Signals

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-11

2022

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Volltext

Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform

Mechanical systems and signal processing, 2010, Vol.24 (1), p.119-137

2010

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Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis

IEEE transactions on industrial informatics, 2023-04, Vol.19 (4), p.5915-5924

2023

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Volltext

Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties

Chinese journal of mechanical engineering, 2021-12, Vol.34 (1), p.1-12, Article 54

English ed., 2021

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Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble

Mechanical systems and signal processing, 2007-02, Vol.21 (2), p.688-705

2007

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A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-12

2021

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Intelligent Diagnosis of V-Type Marine Diesel Engines Based on Multifeatures Extracted From Instantaneous Crankshaft Speed

IEEE transactions on instrumentation and measurement, 2019-03, Vol.68 (3), p.722-740

2019

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Volltext

A Heterogeneous Time-tracking Fusion and Application to Health Evaluation of Aerospace Engines

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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A Bilateral Second-Order Synchrosqueezing Transform and Application to Vibration Monitoring of Aerospace Engine

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-15

2021

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Volltext

New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

Mechanical systems and signal processing, 2008-02, Vol.22 (2), p.419-435

2008

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Effects of unbalance on the nonlinear dynamics of rotors with transverse cracks

Nonlinear dynamics, 2018-03, Vol.91 (4), p.2755-2772

2018

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Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs

Mechanical systems and signal processing, 2007-07, Vol.21 (5), p.2280-2294

2007

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Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions

Reliability engineering & system safety, 2020-12, Vol.204, p.107190, Article 107190

2020

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A Novel Underdetermined Blind Source Separation Method and Its Application to Source Contribution Quantitative Estimation

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1413

2019

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An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection

Measurement science & technology, 2017-01, Vol.28 (3), p.35002

2017

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LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation

Health Indicator Construction Method of Bearings Based on Wasserstein Dual-Domain Adversarial Networks Under Normal Data Only

Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life

Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification

A Dual-Guided Adaptive Decomposition Method of Fault Information and Fault Sensitivity for Multi-Component Fault Diagnosis Under Varying Speeds

A Local Weighted Multi-Instance Multilabel Network for Fault Diagnosis of Rolling Bearings Using Encoder Signal

Application of the EEMD method to rotor fault diagnosis of rotating machinery

Application of an improved kurtogram method for fault diagnosis of rolling element bearings

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

Discriminative Sparse Autoencoder for Gearbox Fault Diagnosis Toward Complex Vibration Signals

Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform

Causal Consistency Network: A Collaborative Multimachine Generalization Method for Bearing Fault Diagnosis

Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties

Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble

A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains

Intelligent Diagnosis of V-Type Marine Diesel Engines Based on Multifeatures Extracted From Instantaneous Crankshaft Speed

A Heterogeneous Time-tracking Fusion and Application to Health Evaluation of Aerospace Engines

A Bilateral Second-Order Synchrosqueezing Transform and Application to Vibration Monitoring of Aerospace Engine

New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

Effects of unbalance on the nonlinear dynamics of rotors with transverse cracks

Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs

Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions

A Novel Underdetermined Blind Source Separation Method and Its Application to Source Contribution Quantitative Estimation

An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection

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