Yifei Ding

Orcid: 0000-0001-8408-6945

According to our database1, Yifei Ding authored at least 27 papers between 2016 and 2024.

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Bibliography

2024
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment.
IEEE Trans. Ind. Informatics, February, 2024

Deep temporal-spectral domain adaptation for bearing fault diagnosis.
Knowl. Based Syst., 2024

SegLD: Achieving universal, zero-shot and open-vocabulary segmentation through multimodal fusion via latent diffusion processes.
Inf. Fusion, 2024

An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information.
Eng. Appl. Artif. Intell., 2024

2023
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data.
IEEE Trans. Ind. Informatics, April, 2023

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions.
Reliab. Eng. Syst. Saf., 2023

Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions.
Knowl. Based Syst., 2023

2022
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals.
IEEE Trans. Instrum. Meas., 2022

Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings.
IEEE Trans. Instrum. Meas., 2022

Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings.
Reliab. Eng. Syst. Saf., 2022

Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation.
Appl. Soft Comput., 2022

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data.
Adv. Eng. Informatics, 2022

2021
Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data.
IEEE Trans. Instrum. Meas., 2021

Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation.
IEEE Trans. Instrum. Meas., 2021

A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder.
IEEE Trans. Instrum. Meas., 2021

Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors.
Reliab. Eng. Syst. Saf., 2021

Remaining useful life estimation using deep metric transfer learning for kernel regression.
Reliab. Eng. Syst. Saf., 2021

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings.
Reliab. Eng. Syst. Saf., 2021

A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings.
CoRR, 2021

A High-Availability K-modes Clustering Method Based on Differential Privacy.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2019
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov., 2019

Domain agnostic online semantic segmentation for multi-dimensional time series.
Data Min. Knowl. Discov., 2019

2018
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile.
Data Min. Knowl. Discov., 2018

2017
Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016


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