Jun Pan

发表

Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment

Jinglong Chen, Y. Zi, Zhengjia He, 2016 .

Specialization improved nonlocal means to detect periodic impulse feature for generator bearing fault identification

Chunlin Zhang, Zitong Zhou, Jinglong Chen, 2017 .

Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive

Yanyang Zi, Jinglong Chen, Jun Pan, 2017 .

Data-driven mono-component feature identification via modified nonlocal means and MEWT for mechanical drivetrain fault diagnosis

Jing Yuan, Binqiang Chen, Yanyang Zi, 2016 .

Fault diagnosis from visualization perspective using stream statistics

Yanyang Zi, Jinglong Chen, Yu Wang, 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

Improved VMD for feature visualization to identify wheel set bearing fault of high speed locomotive

Jinglong Chen, Yu Wang, Jun Pan, 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

A Deep Learning Network via Shunt-Wound Restricted Boltzmann Machines Using Raw Data for Fault Detection

Jun Pan, Tongyang Pan, Zitong Zhou, 2020, IEEE Transactions on Instrumentation and Measurement.

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

Jing Yuan, Binqiang Chen, Yanyang Zi, 2016 .

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

Yanyang Zi, Jinglong Chen, Xuefeng Chen, 2016 .

Cross-domain learning in rotating machinery fault diagnosis under various operating conditions based on parameter transfer

Tongyang Pan, Jinglong Chen, Fudong Li, 2020, Measurement Science and Technology.

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

Biao Wang, Yanyang Zi, Jinglong Chen, 2018, IEEE Transactions on Industrial Electronics.

Degradation feature extraction using multi-source monitoring data via logarithmic normal distribution based variational auto-encoder

Jun Pan, Tongyang Pan, Jinglong Chen, 2019, Comput. Ind..

An unsupervised feature extraction method for nonlinear deterioration process of complex equipment under multi dimensional no-label signals

Yanyang Zi, Jinglong Chen, Wei Han, 2018 .

A novel unknown-input and single-output approach to extract vibration patterns via a roving continuous random excitation.

Jinglong Chen, Y. Zi, Jun Pan, 2021, ISA transactions.