Yifei Ding

发表

A novel approach of evaluating crushing energy in ball mills using regional total energy

Minping Jia, Peng Huang, Yifei Ding, 2019, Powder Technology.

Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation

M. Jia, Peng Ding, Yifei Ding, 2022, Appl. Soft Comput..

Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions

M. Jia, Chi-Guhn Lee, Yifei Ding, 2022, Reliab. Eng. Syst. Saf..

A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings

M. Jia, Qiuhua Miao, Yifei Ding, 2021, Mechanical Systems and Signal Processing.

A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings pdf

Minping Jia, Yifei Ding, Qiuhua Miao, 2021, ArXiv.

Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings

Peng Ding, Minping Jia, Yifei Ding, 2021, Reliab. Eng. Syst. Saf..

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings

Minping Jia, Yudong Cao, Yifei Ding, 2021, Reliab. Eng. Syst. Saf..

Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network

Peng Ding, Minping Jia, Yifei Ding, 2021, Measurement.

Remaining useful life estimation using deep metric transfer learning for kernel regression

Minping Jia, Yifei Ding, Peng Huang, 2021, Reliab. Eng. Syst. Saf..

Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data

Peng Ding, Minping Jia, Xiaoli Zhao, 2021, IEEE Transactions on Instrumentation and Measurement.

Health Assessment of Rotating Equipment With Unseen Conditions Using Adversarial Domain Generalization Toward Self-Supervised Regularization Learning

M. Jia, Yifei Ding, Jichao Zhuang, 2022, IEEE/ASME Transactions on Mechatronics.

A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder

Peng Ding, Minping Jia, Yifei Ding, 2021, IEEE Transactions on Instrumentation and Measurement.

A Convolutional Transformer Architecture for Remaining Useful Life Estimation

M. Jia, Yifei Ding, 2021, 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing).

Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors

Peng Ding, Minping Jia, Yifei Ding, 2021, Reliab. Eng. Syst. Saf..

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network.

Jianyong Yao, M. Jia, Peng Ding, 2022, IEEE transactions on neural networks and learning systems.

Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings

M. Jia, Yifei Ding, 2022, IEEE Transactions on Instrumentation and Measurement.

Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions

M. Jia, Chi-Guhn Lee, Peng Ding, 2022, Knowl. Based Syst..

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets

Eamonn J. Keogh, Yan Zhu, Nurjahan Begum, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

M. Jia, Peng Ding, Yifei Ding, 2022, IEEE/ASME Transactions on Mechatronics.

An improved contact detection algorithm for bonded particles based on multi-level grid and bounding box in DEM simulation

Peng Huang, Minping Jia, Qiuhua Miao, 2020 .

Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels

Eamonn J. Keogh, Liudmila Ulanova, Shaghayegh Gharghabi, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile

Eamonn J. Keogh, Hoang Anh Dau, Diego Furtado Silva, 2017, Data Mining and Knowledge Discovery.

Soft measurement of ball mill load based on multi-classifier ensemble modelling and multi-sensor fusion with improved evidence combination

Peng Huang, Miao Qiuhua, Minping Jia, 2020, Measurement Science and Technology.

Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data

M. Jia, Peng Ding, Yifei Ding, 2022, Adv. Eng. Informatics.

Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals

M. Jia, Chi-Guhn Lee, Peng Ding, 2022, IEEE Transactions on Instrumentation and Measurement.

Particle mixing and segregation behaviors in the rotating drums with adjacent axial segmentations in different speed directions

M. Jia, Peng Huang, Qiuhua Miao, 2022, Powder Technology.

Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data

M. Jia, Peng Ding, Yifei Ding, 2023, IEEE Transactions on Industrial Informatics.

Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation

Minping Jia, Yifei Ding, Yudong Cao, 2021, IEEE Transactions on Instrumentation and Measurement.

Domain agnostic online semantic segmentation for multi-dimensional time series

Eamonn J. Keogh, Wei Ding, Shaghayegh Gharghabi, 2018, Data Mining and Knowledge Discovery.

Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series

Eamonn J. Keogh, Yifei Ding, Yifei Ding, 2017, SSDBM.

Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment

M. Jia, Chi-Guhn Lee, Xiaoan Yan, 2024, IEEE Transactions on Industrial Informatics.