Junyu QI

About Junyu QI

Junyu QI, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Condition Monitoring, Signal Processing, Fault Diagnosis, Fault Prognosis, Predictive Maintenance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Anomaly detection and multi-step estimation based remaining useful life prediction for rolling element bearings

Condition Monitoring of Wind Turbine Drivetrain Bearings

Adaptive Health Monitoring and Fault Prognostics of Rotating Machinery: Statistical Model-based Remaining Useful Life Prediction

Comparison of Blind Diagnostic Indicators for Condition Monitoring of Wind Turbine Gearbox Bearings

Multiple-Model estimation-based prognostics for rotating machinery

Condition Monitoring of Wind Turbines Based on the Scattering Transform of Vibration Data

Estimation of Remaining Useful Life of rolling element bearings based on state estimation techniques

Domain adaptation digital twin for rolling element bearing prognostics

Junyu QI Information

University

Position

PhD researcher at

Citations(all)

153

Citations(since 2020)

150

Cited By

42

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Junyu QI Skills & Research Interests

Condition Monitoring

Signal Processing

Fault Diagnosis

Fault Prognosis

Predictive Maintenance

Top articles of Junyu QI

Anomaly detection and multi-step estimation based remaining useful life prediction for rolling element bearings

Mechanical Systems and Signal Processing

2024/1/1

Condition Monitoring of Wind Turbine Drivetrain Bearings

Journal of Engineering for Gas Turbines and Power

2024/7/1

Adaptive Health Monitoring and Fault Prognostics of Rotating Machinery: Statistical Model-based Remaining Useful Life Prediction

2024

Junyu Qi
Junyu Qi

H-Index: 4

Comparison of Blind Diagnostic Indicators for Condition Monitoring of Wind Turbine Gearbox Bearings

Journal of Engineering for Gas Turbines and Power

2022/4/1

Multiple-Model estimation-based prognostics for rotating machinery

PHM Society European Conference

2021/6/29

Condition Monitoring of Wind Turbines Based on the Scattering Transform of Vibration Data

2021/6/7

Estimation of Remaining Useful Life of rolling element bearings based on state estimation techniques

2021/2/4

Junyu Qi
Junyu Qi

H-Index: 4

Domain adaptation digital twin for rolling element bearing prognostics

Online proceedings of PHM2020

2020/11/3

Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence

Mechanical systems and signal processing

2020/6/1

Prognostics of Rotating Machinery Based on the Multi-Steps Estimation Approach

Proceedings of the ISMA

2020

Perspectives on Health and Usage Monitoring Systems (HUMS) of Helicopters

MATEC Web of Conferences

2020

See List of Professors in Junyu QI University(Katholieke Universiteit Leuven)